The Briefing with Dr. Tuboise Floyd

If AI Does Everything Better, What Happens to Us? | Daniel Rodgers

What happens when artificial intelligence becomes so useful that we stop questioning the decisions it makes? Daniel Rodgers, former engineering and technical program leader at Microsoft and Google and author of Killswitch, joins Dr. Tuboise Floyd on The Briefing to explore a future in which AI delivers extraordinary results while human beings gradually surrender their judgment, autonomy, and control. The danger may begin long before a system goes rogue. Daniel shares an experience from his time at Google, where a launch-review process designed to protect reliability grew into an expanding checklist. As pressure to launch increased, completing the process began to matter more than examining the decision itself. The checkboxes were checked. But who owned the decision? That experience opens a larger conversation about AI governance, automation bias, human oversight, and what happens when organizations confuse approval with accountability. Drawing on his novel Killswitch, Daniel explores a difficult choice: If superintelligent systems become essential to healthcare, infrastructure, economic stability, and everyday relationships, would humanity still be willing to shut them down? In this conversation: Why AI success can create dependence more effectively than AI failure How human-in-the-loop approval can become a formality What Daniel witnessed about checklists and launch decisions at Google Why automation bias weakens human judgment The difference between assigning responsibility and exercising control Agentic AI, artificial general intelligence, and the limits of oversight The personal cost of delegating decisions, creativity, and relationships Why an AI kill switch presents an ethical dilemma What Daniel's novel Killswitch reveals about consent and autonomy The central question: If AI can make better decisions than we can, what are we willing to sacrifice to remain in control? This is a conversation for technology leaders, executives, governance professionals, policymakers, and anyone considering what human agency should mean in an AI-driven world. About the guest Daniel Rodgers is a former engineering and technical program leader at Microsoft and Google and the author of Killswitch, a science-fiction novel exploring superintelligence and human autonomy. About The Briefing Hosted by Dr. Tuboise Floyd, The Briefing examines artificial intelligence, cybersecurity, quantum technology, governance, risk, and the decisions shaping our future. Hosted by: Dr. Tuboise Floyd Creative Director: Jeremy Jarvis A Human Signal Production Explore The Briefing: https://humansignal.io/thebriefing Human Signal: https://humansignal.io Find the decision. Follow the evidence. Name who owns it. This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

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The Next Guy's Problem: Quantum Security and Executive Accountability | Dr. Garfield Jones

The Next Guy's Problem: Quantum Security and Executive Accountability Guest: Dr. Garfield Jones, D.Eng. | Senior Vice President, Research and Technology Strategy, QuSecure Quantum computing could fundamentally change the security of today's encrypted information. Organizations face a difficult question: How do you prepare for a threat whose exact arrival date remains uncertain, but whose consequences may already be accumulating? In this episode of The Briefing, Dr. Tuboise Floyd sits down with Dr. Garfield Jones, Senior Vice President of Research and Technology Strategy at QuSecure and former Associate Chief of Strategic Technology at the Cybersecurity and Infrastructure Security Agency (CISA). At CISA, Dr. Jones led the agency's post-quantum cryptography initiative and helped shape federal guidance for preparing critical infrastructure and government systems for the quantum era. With 25 years of military service and extensive experience in national security, intelligence, systems engineering, and academia, Dr. Jones brings a perspective shaped by the realities of implementing technology across complex organizations. The conversation begins with the quantum threat and moves into the decisions organizations must make to prepare. What does post-quantum migration actually cost? Where does cryptography hide inside existing infrastructure? What happens when a critical technology vendor has no credible migration plan? And when executives knowingly accept the risk of vulnerable cryptography, who signs the decision record? Dr. Floyd challenges the incentives that allow organizations to postpone difficult security decisions, including executive compensation, CISO tenure, competing budgets, and the temptation to leave unresolved problems for the next person. Dr. Jones responds candidly, examining the responsibilities of security leaders and the executives who hire them, establish organizational priorities, and control the resources necessary to act. The result is a conversation about technology, leadership, institutional responsibility, and the decisions that will shape organizational security for years to come. IN THIS EPISODE Harvest Now, Decrypt Later: Why encrypted information collected today could become vulnerable in the future. The Cost of Quantum Readiness: Funding post-quantum migration while managing existing cybersecurity priorities. Cryptography Hiding in Plain Sight: Understanding dependencies across networks, applications, identity systems, devices, and legacy infrastructure. When Your Vendor Isn't Ready: Evaluating vendor roadmaps, migration commitments, and the consequences of remaining dependent on unprepared providers. Who Signs the Decision Record? Documenting accepted risks and identifying the executives responsible for those decisions. The Next Guy's Problem: How CISO tenure, leadership incentives, and organizational culture influence long-term security decisions. Cryptographic Agility: Building the ability to discover, manage, and replace cryptographic technologies as requirements change. What Leaders Should Do Now: Education, planning, prioritization, and practical preparation for post-quantum migration. THE QUESTION AT THE CENTER "If leadership knowingly leaves a system on vulnerable cryptography because replacement is too expensive, too disruptive, or technically impossible, what should be documented?" "Who signs the decision record?" The discussion that follows exposes a fundamental challenge in cybersecurity governance: organizations can recognize a risk, understand the consequences, and still struggle to assign responsibility for addressing the problem. ABOUT DR. GARFIELD JONES Dr. Garfield Jones, D.Eng., serves as Senior Vice President of Research and Technology Strategy at QuSecure. Previously, he served as Associate Chief of Strategic Technology at CISA, where he led the agency's post-quantum cryptography initiative and contributed to federal preparation for emerging quantum threats. His professional background includes 25 years of military service, systems engineering supporting national security and intelligence agencies, and teaching computer science and systems engineering. Connect with Dr. Jones: gjones@qusecure.com Learn more about QuSecure: qusecure.com ABOUT THE BRIEFING The Briefing with Dr. Tuboise Floyd explores artificial intelligence, cybersecurity, quantum technology, and the decisions shaping business, government, and everyday life. Through candid conversations with technology leaders, founders, and practitioners, Dr. Floyd examines how emerging technologies move from possibility into practice. Each conversation follows the choices people face: where to invest, which risks to accept, what evidence to trust, and who takes responsibility for the outcome. Find the decision. Follow the evidence. Name who owns it. Explore The Briefing: humansignal.io/thebriefing PRODUCTION CREDITS Host: Dr. Tuboise Floyd Creative Director: Jeremy Jarvis Production: Human Signal The Briefing is an independent Human Signal production. This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

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Who Can You Trust? AI, Cybersecurity & Starting Over | Keisha Bent

Who do you trust when everyone claims to be an expert? Keisha Bent has spent years working in technology, project management, and compliance. Now she's pursuing a new direction in cybersecurity and privacy, studying at Florida State University's College of Law and building her podcast, Oh Hell No, Not My Data. In this episode of The Briefing, Dr. Tuboise Floyd talks with Keisha about career transitions, AI privacy, cybersecurity, professional credibility, and the work of independent media. The conversation begins with a practical question: When an organization approves an AI tool, how do employees know what they're actually permitted to do with it? From there, we explore human oversight of AI, the risks of autonomous agents, and the difficulty of separating credible expertise from impressive credentials. Keisha shares what happened when a podcast guest couldn't answer questions about their claimed area of expertise, how she handled the conversation, and why curiosity remains central to her approach. We also discuss her decision to pursue cybersecurity and privacy law, the transferable skills that make career changes possible, and what goes into building an independent podcast. Toward the end, Keisha offers advice for anyone starting something new: “Don't follow trends. Don't follow the hype. Follow your interests.” In this conversation: Breaking into cybersecurity through compliance, privacy, and transferable skills AI governance, employee training, and appropriate use of approved AI tools Human-in-the-loop oversight and AI agents How to evaluate expertise and ask better questions Changing careers and pursuing graduate education Building an independent podcast with patience and purpose Defining success on your own terms About the guest Keisha Bent is the host of Oh Hell No, Not My Data, a podcast exploring cybersecurity, privacy, technology, and the professionals working across these fields. About The Briefing The Briefing with Dr. Tuboise Floyd explores artificial intelligence, cybersecurity, quantum technology, emerging technology, and the decisions shaping our future. Independent conversations at the point of decision. Find the decision. Follow the evidence. Name who owns it. Host: Dr. Tuboise Floyd Guest: Keisha Bent, Host of Oh Hell No, Not My Data Creative Director: Jeremy Jarvis Production: A Human Signal Production Explore The Briefing: https://humansignal.io/thebriefing Human Signal: https://humansignal.io #Cybersecurity #ArtificialIntelligence #CareerChange This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

Post-Quantum Readiness: Can You Find Your Cryptography Before Quantum Does? | David Pollak

Everybody keeps asking the same quantum question: When is Q-Day? But that may not be the question that matters to the person who eventually has to sign the migration plan. Before an organization can replace vulnerable cryptography, it has to know where that cryptography exists. And before leadership tells a board that the problem can be fixed, somebody has to determine whether a replacement actually exists. In this episode of The Briefing, Dr. Tuboise Floyd sits down with David Pollak, Founder and CEO of Spice Labs, for a practical examination of post-quantum readiness, cryptographic discovery, CBOMs, software supply-chain risk, and crypto agility. Pollak argues that traditional source-code and network scanning can reveal pieces of the problem without necessarily producing a complete, correlated view of the cryptography embedded across applications, libraries, containers, virtual machines, third-party components, certificates, and dependencies. The conversation gets to a larger leadership question: What evidence would you be willing to sign your name to? Pollak describes the role of a Cryptographic Bill of Materials (CBOM) in identifying cryptographic libraries, where cryptography is being invoked, how algorithms are configured, and the cryptographic material contained inside software. The discussion also examines why crypto agility matters. Pollak compares hard-coded cryptography to putting a jacuzzi motor behind drywall: when something changes, you have to tear into the system to replace it. Crypto agility creates the equivalent of an access door, allowing cryptographic algorithms to be changed with substantially less disruption. The conversation then moves from discovery to measurement. For Pollak, readiness cannot simply be a green spreadsheet or completed Jira burndown. Organizations need evidence of what has actually been compiled into software and a way to measure whether cryptographic posture changes as remediation proceeds. Floyd and Pollak also examine the procurement problem: an organization can address its own code and still inherit cryptographic exposure through someone else's software. That makes vendor evidence, supply-chain auditing, CBOMs, and third-party attestation increasingly important to buyers. And when the conversation reaches the decision a CISO, CIO, CTO, or board can make now, Pollak offers a deceptively difficult answer: Decide what can be dropped. Prioritization requires saying no. If everything is important, nothing is. Leadership therefore needs to know what matters, what does not, and document that decision. The result is a different way of thinking about post-quantum readiness. It does not begin with predicting Q-Day. It begins with knowing what you have, knowing what can be replaced, knowing what cannot, determining what evidence demonstrates that the work was actually completed, and putting a name next to the decision. IN THIS EPISODE • Why cryptographic discovery comes before post-quantum migration • Why source-code scanning alone cannot reveal the entire cryptographic estate • Why network scanning and application inventories must be correlated • SBOM vs. CBOM • What a Cryptographic Bill of Materials actually contains • Cryptography hidden inside third-party and open-source software • Software artifacts, JARs, containers, virtual machines, and dependencies • Cryptographic certificates, keys, algorithms, and material • Crypto agility and the cost of hard-coded cryptography • Measuring actual remediation instead of relying on compliance spreadsheets • Software supply-chain exposure • Vendor and procurement questions for post-quantum readiness • External auditing and third-party attestation • Why software must be treated as a dynamic asset • Long-term technology investment and short-term organizational incentives • What CISOs, CIOs, CTOs, and boards should prioritize now • Why every migration plan eventually requires someone to decide what does not get fixed first THE BUYER'S TEST A vendor tells you: “We're quantum safe.” What should you ask next? How are you managing certificates and cryptographic inputs? Have you tested the system without classical certificates, cryptography, or keys? How have you audited your software supply chain? What evidence demonstrates what exists inside third-party and open-source components? Who independently audited the claim? Mechanics. Process. Third-party attestation. CHAPTERS 00:00 — Q-Day May Be the Wrong Question 01:00 — Meet David Pollak, Founder & CEO of Spice Labs 02:00 — Do Organizations Know Where Their Cryptography Is? 03:00 — Why an Inventory Is Not Enough 05:00 — Inspecting the Build Artifact 07:00 — What Would You Be Willing to Sign? 08:00 — What's Actually Inside Modern Software? 10:00 — Decision Assurance and Cryptographic Evidence 11:00 — SBOM vs. CBOM 12:00 — What a CBOM Actually Tells You 14:00 — Cryptographic Material and Legacy Certificates 15:00 — Inside Spice Labs' Cryptographic Analysis 17:00 — Third-Party Software and Quantum Readiness 18:00 — Migration Deadlines and the Leadership Problem 19:00 — Why Post-Quantum Migration Takes Time 20:00 — Partner Message: MCGlobalTech CMMC Assured Enclave 21:00 — Harvest Now, Decrypt Later—and Digital Trust 23:00 — What Happens When Digital Signatures Cannot Be Trusted? 27:00 — What Crypto Agility Actually Means 31:00 — Discovery Is the Starting Line 32:00 — Measurement vs. Compliance Checklists 34:00 — Measuring Ground Truth 37:00 — Software Supply-Chain Visibility 38:00 — Should Buyers Require CBOM Evidence? 39:00 — The Buyer's Test for “Quantum Safe” Vendors 41:00 — What Executives Misunderstand About Software 43:00 — Short-Term Incentives vs. Long-Term Readiness 44:00 — The One Decision Leaders Can Make Monday Morning 45:00 — What Do You Drop on the Floor? GUEST David Pollak Founder & CEO, Spice Labs David Pollak has spent nearly two decades building open-source systems and examining how software is composed. He created Lift, one of the early major Scala web frameworks, helped advance Scala adoption across industry and academia, and later worked as a distinguished engineer on dependency analysis and enterprise software risk. At Spice Labs, Pollak is applying mathematical methods to software and cryptographic discovery to produce verifiable records of system composition and help organizations understand the software, dependencies, and cryptography their systems actually contain. ABOUT THE BRIEFING The Briefing with Dr. Tuboise Floyd is an independent Human Signal production examining consequential decisions across artificial intelligence, quantum technology, cybersecurity, governance, and emerging technology risk. Real conversations. Higher stakes. Find the decision. Follow the evidence. Name who owns it. Hosted by Dr. Tuboise Floyd Creative Director: Jeremy Jarvis A Human Signal Production PARTNER DISCLOSURE This episode includes a partner message from MCGlobalTech, a Human Signal partner, for the CMMC Assured Enclave. Commercial partnerships and underwriting do not determine guest selection, questions, analysis, or editorial conclusions. This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

Passing the Test Is Not Staying Compliant | CMMC, AI & Governance with William McBorrough

Passing the test and staying compliant are two different jobs. A defense contractor can spend months preparing for an assessment, pass it, and begin losing ground almost immediately. Why? Because assessment readiness is not the same thing as operating a sustainable compliance program. In this episode of The Briefing, Dr. Tuboise Floyd sits down with William McBorrough, CISO and Lead CMMC Assessor, MCGlobalTech for a conversation about what happens every day after assessment day. William has seen the problem from both sides: building cybersecurity compliance programs and assessing whether organizations can actually operate what they documented. The conversation starts with CMMC and the Defense Industrial Base, then moves into governance, evidence, executive accountability, technology procurement, and AI. Because whether the system is a cybersecurity compliance program or an AI use case, the underlying question is remarkably similar: Can you prove that what you say is happening is actually happening? FULL SHOW NOTES Passing the test is not staying compliant. A company can spend a year preparing for an assessment, pass it, and watch the program begin coming apart afterward. The people who built it return to their regular jobs. The documentation stops matching the work. The next assessor may discover an organization that was compliant once. That is the problem at the center of this episode of The Briefing. Dr. Tuboise Floyd sits down with William McBorrough, CISO and Lead CMMC Assessor, to examine what happens when organizations build cybersecurity compliance programs around assessment day instead of the operating capability required for every day after it. William describes this as a sustainability problem. Organizations frequently buy audit-readiness services, tools, consulting, and managed services designed to get them through a point-in-time assessment. But when the audit becomes the goal, organizations can immediately begin drifting once the assessment is over because the ongoing activities required by the compliance program were never built into normal operations. That leads to one of the central arguments of the conversation: CMMC is a governance problem. Cybersecurity compliance requires more than a mandate. Governance is a discipline requiring people, skills, processes, accountability, and the capability to perform the work repeatedly. And an assessor can see the difference. If an organization's policy says access is reviewed every month, an assessor doesn't simply want to read the policy. Where are the records? What process was followed? Who performed the work? Can the organization demonstrate that the activity actually occurred? An assessor is looking for evidence that the program is operating, not merely evidence that somebody documented one. Then the conversation crosses into AI. William explains why security leaders increasingly find themselves responsible for AI risk because AI is already entering organizations. Rather than serving as the traditional "voice of no," he describes the security leader's job as finding a secure path to legitimate business objectives. That raises another governance problem: How do you use AI without simply turning it loose? William explains how MCGLOBALTech approaches AI inside its compliance operations. The organization governs AI by use case, not simply by declaring a particular AI product acceptable. Different uses of the same tool can create very different risks. There are also boundaries. AI is not used on client data inside MCGLOBALTech's client environments. AI is instead used for specific approved operational purposes outside those prohibited uses. And there is an important operating rule: Do it manually first. William's team develops the process manually, operates it, validates that the process produces the desired outcome, and only then determines how AI can accelerate or automate it. The process is not created by AI. AI is applied after the organization understands the process and knows what a valid outcome should look like. That distinction matters because AI can produce something that looks convincing even when it is wrong. As William explains in the conversation, asking AI for a heart-surgery plan may produce something that looks excellent to someone who isn't a heart surgeon. Expertise is what allows someone to recognize whether the output is actually valid. The same discipline required for sustainable cybersecurity compliance begins appearing again in AI: Defined processes. Clear boundaries. Validated outputs. Evidence. Human judgment. Accountability. The episode also gets personal for executives. CMMC and federal cybersecurity requirements eventually reach the people whose names stand behind what the organization says is true. William advises CEOs operating in the federal space to examine their contracts, understand the security obligations contained in them, and determine whether their organizations actually possess the capability to meet those obligations. He also discusses the responsibility of the senior official affirming an organization's compliance information and the importance of having evidence behind what leadership is being asked to stand behind. The question isn't simply: Did we pass? It is: Can we prove we're still doing what we said we do? The assessment is a day. The program is every day after. IN THIS EPISODE • CMMC and the compliance sustainability gap • Passing an assessment versus sustaining compliance • CMMC Level 2 • What CMMC assessors actually look for • Evidence versus documentation • Governance versus audit readiness • NIST 800-171 requirements • Cybersecurity inside the Defense Industrial Base • Small-business compliance challenges • Governance as an operating discipline • Executive accountability and attestation • Security obligations inside federal contracts • AI governance • The CISO as an AI governance leader • Governing AI by use case • ChatGPT, Claude and Microsoft Copilot • Separating AI experimentation from controlled environments • Manual validation before AI automation • Validated outputs versus convincing outputs • Continuous review of AI use cases • Why technology-first procurement fails • What CEOs should examine now GUEST William McBorrough CISO, Lead CMMC Assessor MCGLOBALTech William McBorrough is a cybersecurity and compliance leader whose work spans building, operating, and assessing security governance programs. He has spent more than 16 years building security compliance programs and has supported defense contractors around NIST 800-171 requirements and cybersecurity compliance. His work has included organizations ranging from five employees to 5,000 employees, while MCGLOBALTech also serves federal government organizations. William is also an associate professor of cybersecurity at the University of Maryland Global Campus, serves on the EC-Council Global Advisory Board, publishes the SMB CISO Insights newsletter, and is the author of Beyond Compliance, a governance roadmap focused on sustainable CMMC. ABOUT THE BRIEFING The Briefing with Dr. Tuboise Floyd is independent media examining the decisions underneath consequential technology. AI. Quantum. Cyber. The technology is only the beginning of the story. Find the decision. Follow the evidence. Name who owns it. Independent media. Real conversations. Higher stakes. A Human Signal Production Hosted by Dr. Tuboise Floyd Creative Director: Jeremy Jarvis Watch and listen: humansignal.io/thebriefing EDITORIAL / PARTNER DISCLOSURE MCGLOBALTech is a paying Human Signal partner, and Dr. Tuboise Floyd has performed contract advisory work with the firm. The partnership does not determine guest selection, questions, editorial conclusions, favorable treatment, or endorsement. Editorial questions and conclusions remain independent. This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

Q-Day: Building the Quantum Future with Katie Arrington of IonQ

Someone may already be copying your encrypted traffic. They cannot read it yet. Q-Day is when that could change. Katie Arrington, Quantum Technical Evangelist at IonQ and former senior technology and cybersecurity leader at the Department of War, joins Dr. Tuboise Floyd for a plainspoken conversation about the decisions leaders must make before cryptographically relevant quantum computing arrives. Katie has stood on both sides of the desk. She previously performed the duties of chief information officer for the Department of War and served as deputy chief information officer for cybersecurity, overseeing defense-wide cyber strategy, governance, and compliance. Today, she is helping explain the technology that could reshape the systems she once helped defend. In this episode: What Q-Day means for public-key encryption Why “harvest now, decrypt later” creates risk before quantum computers can break encryption How organizations should approach post-quantum cryptography and cryptographic inventories Why leaders will have to decide what gets upgraded, rebuilt, or left behind How quantum sensing, timing, and networking could reshape modern conflict The difference between artificial intelligence and quantum computing How trapped-ion quantum computers work Why fidelity and fault tolerance matter Where humans belong in an AI- and quantum-enabled future What quantum and AI could mean for jobs and workforce development The hardest question is not whether quantum is coming. It is who decides what must be protected first—and what evidence supports that decision. About Katie Arrington Katie Arrington is Quantum Technical Evangelist at IonQ. She previously performed the duties of chief information officer for the Department of War, advising the secretary on enterprise information management, cyber assurance, and emerging technology policy. She also served as deputy chief information officer for cybersecurity and as chief information security officer for acquisition and sustainment. Follow IonQ: https://www.ionq.com About The Briefing The Briefing with Dr. Tuboise Floyd examines consequential technology decisions across artificial intelligence, cybersecurity, quantum technology, and emerging risk. Creative Director: Jeremy Jarvis. Find the decision. Follow the evidence. Name who owns it. Listen, watch, and follow the show: https://humansignal.io/thebriefing Partner disclosure This episode is underwritten by Founding Decision Assurance Partner MCGlobalTech. MCGlobalTech built the CMMC Assured Enclave to help small and midsized defense contractors operate their cybersecurity and compliance obligations after the assessment. Learn more at https://cmmcassured.com The views expressed by the guest are her own. Discussion of companies, markets, or securities is for informational purposes only and is not investment advice. This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

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AI Writes Your Cybersecurity Policy in Seconds. It's Also Wrong. | William McBorrough, MCGlobalTech

AI can produce a polished cybersecurity policy, control plan, or assessment response in seconds. But polished is not the same as correct. In this episode of The Briefing, Dr. Tuboise Floyd sits down with William McBorrough, founder of MCGlobalTech, to unpack why expertise still matters when an AI-generated answer looks convincing but is operationally wrong — and what that means for every leader approving, procuring, or certifying technology decisions that carry real consequences. ⚠️ THE CORE PROBLEM: Large language models optimize for fluency, not accuracy. When the output is a security control, a compliance response, or a risk assessment, a confident wrong answer doesn't just waste time — it creates exposure. 🎯 IN THIS EPISODE: • Why AI-generated cybersecurity policies look right but fail operationally • The expertise gap: what LLMs can't replicate about security judgment • Where AI actually helps in compliance, audits, and control development • How to vet AI output before it becomes policy, plan, or certification response • AI governance frameworks for leaders who approve consequential technology 👤 ABOUT THE GUEST: William McBorrough is the founder of MCGlobalTech, a cybersecurity and governance, risk, and compliance (GRC) firm. He works with organizations navigating security assessments, compliance frameworks, and the operational reality of turning policy into protection. 🔗 RESOURCES & LINKS: → Watch The Briefing: https://humansignal.io/thebriefing → Subscribe to The AI Governance Record (biweekly analysis for leaders who approve, procure, or certify consequential technology): https://www.linkedin.com/newsletters/the-ai-governance-record-7438000159642292225 📬 THE BRIEFING is the podcast for leaders making consequential technology decisions. Subscribe on Apple Podcasts, Spotify, Amazon Music, or wherever you listen. This Briefing is underwritten by Founding Decision Assurance Partner MCGlobalTech. Underwriting does not determine analysis, findings, or guest selection. #Cybersecurity #ArtificialIntelligence #AIGovernance #GRC #Compliance #RiskManagement #MCGlobalTech #TheBriefing This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

They're Already Stealing Your Encrypted Data. Q-Day Is When They Read It. | Katie Arrington, IonQ

Your encrypted data is being copied right now. Not read — stored. Waiting for the machine that can open it. That machine has a date: Q-Day. Estimates land between 2027 and 2028. This is the trailer for Q-Day: Building the Quantum Future — the episode of The Briefing where Dr. Tuboise Floyd puts the hardest question in cybersecurity to Katie Arrington: you've got one budget and two bills. Do you pay to protect data against a threat that hasn't arrived, or buy into quantum computing that hasn't fully delivered? She has stood on both sides of that desk as the senior cyber official defending the Department of Defense, the largest enterprise on earth, and now as Quantum Technical Evangelist at IonQ, the company building the machines that change everything she used to defend. If you run a company, a security team, or a board agenda — this conversation is about you. 🎙️ FULL EPISODE: September 8, 2026 — The Briefing with Dr. Tuboise Floyd WHAT YOU'LL HEAR: • "Harvest now, decrypt later" — the attack happening today • The real timeline for quantum computers breaking RSA encryption • Post-quantum cryptography: what migrating actually costs • Quantum networking, quantum sensing, and what comes after • Why a top DoD cyber leader crossed over to IonQ SUBSCRIBE — full episode in 48 hours: ▶ YouTube: @RealHumanSignal ▶ Apple Podcasts / Spotify / Amazon Music: The Briefing with Dr. Tuboise Floyd GUEST: Katie Arrington — former DoW Chief Information Officer (performing the duties), former Deputy CIO for Cybersecurity, former CISO for Acquisition & Sustainment, former state legislator, and senior leader at Exiger, Booz Allen Hamilton, Centauri, and Dispersive Networks. Now Quantum Technical Evangelist at IonQ. The Katie Arrington episode of The Briefing is underwritten by Founding Decision Assurance Partner MCGlobalTech. Underwriting does not determine analysis, findings, or guest selection. #QDay #QuantumComputing #IonQ #Cybersecurity #Encryption #PostQuantumCryptography #KatieArrington #DataBreach #InfoSec #TheBriefing This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

AI Fails Because of Broken Governance, Not Bad Models | Dr. Tuboise Floyd

AI Fails Because of Broken Governance, Not Bad Models Description: Most institutions will not fail because of a bad AI model. They will fail because of the governance structure around it. AI does not invent new blind spots. It automates the ones your institution already has. The Workflow Thesis is a three-layer framework, governance, protocols, and work processes, that keeps human oversight in place, catches failure early, and holds an audit trail, across federal agencies, universities, and enterprises, without buying new software. I am Dr. Tuboise Floyd, Founding Pedagogical Theorist of AI Governance and founder of Human Signal. I reverse-engineer real AI failures and teach the structures that prevent them. More: The AI Governance Briefing podcast → theaigovernancebriefing.com The Workflow Thesis on SSRN → ssrn.com/abstract=6644860 Human Signal → humansignal.io Subscribe for weekly AI governance breakdowns. Then tell me in the comments: where is AI automating a blind spot in your institution right now? Read the Workflow Thesis paper on SSRN: https://ssrn.com/abstract=6644860 More from Human Signal: humansignal.io TAIMScore™ measured for trust: https://humansignal.io/#measured-for-trust ────────────────────────────────────── ABOUT THE HOST ────────────────────────────────────── Dr. Tuboise Floyd, PhD is the Founder and Chief Sensemaking Officer of Human Signal, Editor in Chief of The AI Governance Record, and a TAIMScore™ Certified Assessor. He holds a PhD from Auburn University and is a member of the HISPI Advocacy & Education Working Group (Project Cerebellum). ────────────────────────────────────── CONNECT ────────────────────────────────────── Website: humansignal.io Podcast: theaigovernancebriefing.com/podcast LinkedIn: linkedin.com/in/drtuboisefloyd Email: tuboise@theaigovernancebriefing.com Govern the machine. Or be the resource it consumes. #AIGovernance #WorkflowThesis #AIRisk #ResponsibleAI #HumanOversight This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

Governing AI as Critical Infrastructure | Dr. Tuboise Floyd, AFCEA TechNet Cyber 2026

A deepfake of two people fighting. Footage that was never filmed. No hack. No intrusion. The system did its job. The AI governance problem hides exactly there. From the AFCEA TechNet Cyber 2026 stage in Baltimore, Dr. Tuboise Floyd reframes the AI threat to critical infrastructure. The danger rarely arrives as an outside breach. It walks in as an authenticated user, fully trusted, turning AI tools toward harm: a flag officer issuing an order he never gave, a grid operator on a verification call that never happened. The fix runs through structure, crosswalking control against ISO/IEC 42001 and NIST, turning each failure into a teaching object, and auditing the AI tools already inside your walls. Chapters 0:00 Pedagogy and the Project Cerebellum AI database 0:24 The deepfake that was never filmed 1:25 The real threat is not access 2:00 Crosswalking control to ISO/IEC 42001 and NIST 2:39 Who actually owns the failure 3:01 Audit what already runs in your environment 3:16 When AI costs the same as human labor Links Human Signal: https://humansignal.io The AI Governance Briefing: https://theaigovernancebriefing.com Failure Files: https://aigovernancefailures.com Measured for Trust: https://humansignal.io/#measured-for-trust The Workflow Thesis (SSRN): https://ssrn.com/abstract=6644860 Panel Dr. Tuboise Floyd, Founder and Chief Sensemaking Officer, Human Signal Karen Jackson, Apogee Strategic Partners Taiye Lambo, HISPI Project Cerebellum Moderator: COL Kathy Swacina, USA (Ret.), Kolibri Strategy and Project Cerebellum Event: AFCEA TechNet Cyber 2026, Baltimore, MD TAIMScore and the TAIM control standards belong to Taiye Lambo and HISPI. Govern the machine. Or be the resource it consumes. #AIGovernance #CriticalInfrastructure #Deepfakes #ZeroTrust #TechNetCyber ────────────────────────────────────── ABOUT THE HOST ────────────────────────────────────── Dr. Tuboise Floyd, PhD is the Founder and Chief Sensemaking Officer of Human Signal, Editor in Chief of The AI Governance Record, and a TAIMScore™ Certified Assessor. He holds a PhD from Auburn University and is a member of the HISPI Advocacy & Education Working Group (Project Cerebellum). ────────────────────────────────────── CONNECT ────────────────────────────────────── Website: humansignal.io Podcast: theaigovernancebriefing.com/podcast LinkedIn: linkedin.com/in/drtuboisefloyd Email: tuboise@theaigovernancebriefing.com Govern the machine. Or be the resource it consumes. This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

Dr. Rhonda Farrell: AI Doesn't Break Your Organization. It Reveals It.

Most organizations are not failing because they lack effort. They are failing because policy, process, people, and platforms were never designed to operate as an integrated system. AI does not fix that system. AI reveals it. In this Guest Feature, Dr. Tuboise Floyd sits down with Dr. Rhonda Farrell — United States Marine Corps veteran, ASQ Fellow, IEEE Senior Member, ISSA Distinguished Fellow, and Founder of the Cyber & STEAM Global Innovation Alliance — for a field report from inside the DoD, DHS, NSA, Department of State, and the broader intelligence community on what functional AI governance actually requires. Her thesis: AI is a forcing function. And pressure does not break solutions. It reveals them. ━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔑 KEY IDEAS ━━━━━━━━━━━━━━━━━━━━━━━━━━ ▪ Why high-performing people keep drowning inside low-performing ecosystems ▪ The difference between performative compliance and mission-functional compliance ▪ Why policy without an execution path is just theory ▪ The four-P traceability model: Policy → Process → People → Platforms ▪ How to sequence NIST CSF, CMMC, NIST AI RMF, and TAIMScore™ as a phased maturation program ▪ The Monday Morning Move — a live exercise leaders can run tomorrow ▪ Why pressure does not break solutions. It reveals them. ━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎙 CHAPTERS ━━━━━━━━━━━━━━━━━━━━━━━━━━ 00:00:00 — Open: The Veteran's Diagnosis 00:02:00 — High-Performing People, Low-Performing Ecosystems 00:05:00 — The Design Problem: Why Integration Was Never Built 00:10:00 — Policy → Process → People → Platforms: The Traceability Model 00:12:00 — Performative vs. Mission-Functional Compliance 00:14:00 — AI as the Forcing Function 00:17:00 — Sequencing NIST CSF, CMMC, NIST AI RMF, and TAIMScore™ 00:20:00 — Policy Without Execution Is Just Theory 00:25:00 — The Design Shift: From Frameworks to Operationalization 00:32:00 — The Monday Morning Move 00:37:00 — Pressure Does Not Break Solutions. It Reveals Them. 00:39:00 — Where to Follow Dr. Farrell's Work 00:41:00 — Close: Govern the Machine or Be the Resource It Consumes ━━━━━━━━━━━━━━━━━━━━━━━━━━ 📺 WATCH ON YOUTUBE ━━━━━━━━━━━━━━━━━━━━━━━━━━ https://youtu.be/ACe9px5XZZ8 ━━━━━━━━━━━━━━━━━━━━━━━━━━ 📰 COMPANION PIECES ━━━━━━━━━━━━━━━━━━━━━━━━━━ ▶ Issue 015 of The AI Governance Record (written companion): https://theaigovernancerecord.com/record/issue-015 ▶ Subscribe to the newsletter: https://theaigovernancerecord.com/newsletter ▶ Deep-dive blog: https://theaigovernancebriefing.com/blog ━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎟 LIVE EVENT — MAY 14, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━━━ Human Signal Town Hall — The Strict Reality of AI Governance Dr. Rhonda Farrell is a confirmed speaker. 50 seats. $97 pre-sale through April 30. $147 from May 1. Reserve: https://humansignal.io/townhall ━━━━━━━━━━━━━━━━━━━━━━━━━━ 📄 READ THE POSITION PAPER ━━━━━━━━━━━━━━━━━━━━━━━━━━ The Pedagogy Problem in AI Governance — Dr. Tuboise Floyd's foundational position paper. Available on SSRN and at humansignal.io/position-paper. DOI: 10.2139/ssrn.6549178 ━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎓 TAIMSCORE™ ASSESSOR WORKSHOP ━━━━━━━━━━━━━━━━━━━━━━━━━━ Want to measure your organization's AI governance maturity against a standard? Dr. Floyd is a TAIMScore™ Certified Assessor (HISPI). https://humansignal.io/taimscore ━━━━━━━━━━━━━━━━━━━━━━━━━━ 📚 FAILURE FILES™ ━━━━━━━━━━━━━━━━━━━━━━━━━━ Governance pedagogy through real AI failure analysis. Free public instrument from Human Signal, underwritten by Project Cerebellum. https://humansignal.io/failure-files ━━━━━━━━━━━━━━━━━━━━━━━━━━ 👤 ABOUT THE GUEST ━━━━━━━━━━━━━━━━━━━━━━━━━━ Dr. Rhonda Farrell, DM, MS, MBA, CISSP, PMP, LSSMBB, is Executive Advisor, Transformation Strategist, and Founder & CEO of Global Innovation Strategies and the Cyber & STEAM Global Innovation Alliance. A United States Marine Corps veteran with twenty-plus years driving enterprise transformation, AI, cybersecurity, and innovation across the DoD, NSA, DHS, Department of State, and broader intelligence community. ASQ Fellow. IEEE Senior Member. ISSA Distinguished Fellow. Her Cyber & STEAM Global Innovation Alliance is building toward 10,000 partners serving one million people globally across STEAM, cyber, and innovation. LinkedIn: https://www.linkedin.com/in/rhondafarrell/ Website: https://gblinnovstratllc.com Email: CEO@gblinnovstratllc.com Watch Dr. Farrell's weekly "Spotlight on Strategy" series on YouTube: https://youtube.com/@gblinnovstrat ━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎙 ABOUT THE HOST ━━━━━━━━━━━━━━━━━━━━━━━━━━ Dr. Tuboise Floyd, PhD, is Founder and Chief Sensemaking Officer of Human Signal (humansignal.io), Editor in Chief of The AI Governance Record (theaigovernancerecord.com), Host of The AI Governance Briefing(theaigovernancebriefing.com), and a TAIMScore™ Certified Assessor. His doctoral work at Auburn University (2010) in adult education and systems theory underpins Human Signal's pedagogical frameworks, including the Trust Gap, GASP™, the Workflow Thesis, Noise Discipline, and the L.E.A.C. Protocol™. ORCID: 0009-0008-0055-072X ━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔗 CONNECT ━━━━━━━━━━━━━━━━━━━━━━━━━━ Website: https://humansignal.io LinkedIn: https://linkedin.com/in/drtuboisefloyd Brand channel: https://linkedin.com/in/theaigovernancebriefing Podcast RSS: https://feeds.captivate.fm/the-ai-governance Apple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-governance-briefing/id1847777960 ━━━━━━━━━━━━━━━━━━━━━━━━━━ Independence is not a feature. It is the product. Govern the machine. Or be the resource it consumes. #AIGovernance #AIRiskManagement #DigitalTransformation #Compliance #GRC #DrRhondaFarrell #DrTuboiseFloyd #HumanSignal #TheAIGovernanceBriefing #NISTAIRMF #TAIMScore #HISPI #USMC #DoD #NSA #EnterpriseAI #Leadership This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

Navigating the Complexities of AI Governance: Introducing TAIMScore™

TAIMScore™ is the Trusted AI Model Score — a 20-control AI governance framework built by HISPI Project Cerebellum. In this episode of The AI Governance Briefing, Dr. Tuboise Floyd, PhD breaks down how TAIMScore™ turns AI accountability into something you can measure, score, and prove. Four governance domains. Twenty essential controls. Mapped against NIST AI RMF, the EU AI Act, HIPAA, PCI DSS, SOC 2, EU GDPR, and the White House AI Executive Order. If your institution needs a blueprint for AI governance that survives regulatory scrutiny, this is the starting point. AI is already deployed. The institutions that survive will be the ones that can prove they govern it. ────────────────────────────────────── WHAT YOU WILL LEARN ────────────────────────────────────── ∙ Why AI incidents make governance non-negotiable ∙ The Project Cerebellum mission: AI should cause no harm ∙ How the four TAIM domains — GOVERN, MAP, MEASURE, MANAGE — work as an accountability cycle ∙ The 20 TAIMScore™ controls every AI-deploying organization must address ∙ How to crosswalk your AI posture against global regulatory frameworks ∙ Why the AI kill switch is essential governance — not optional ────────────────────────────────────── CHAPTERS ────────────────────────────────────── 0:00 Welcome and Introduction 0:28 Real Risks of AI 1:18 Real Generative AI Incidents 2:13 Project Cerebellum: AI Should Cause No Harm 2:48 Vision and Mission 3:33 The Four TAIM Domains 5:01 GOVERN — AI Risk Training (Govern 2.2) 5:31 GOVERN — Supply Chain Policy (Govern 6.1) 6:01 MAP — Establishing Context (Map 1.2) 6:26 MAP — System Requirements (Map 1.6) 6:55 MAP — Third Party Risk (Map 4.1) 7:13 MAP — Impact Documentation (Map 5.1) 7:33 MEASURE — Human Evaluations (Measure 2.2) 7:51 MEASURE — Reliability (Measure 2.5) 8:07 MEASURE — Safety Risk (Measure 2.6) 8:23 MEASURE — Explainability (Measure 2.9) 8:37 MEASURE — Privacy Risk (Measure 2.10) 8:51 MEASURE — Fairness and Bias (Measure 2.11) 9:09 MEASURE — Risk Tracking (Measure 3.1) 9:23 MEASURE — Feedback Loops (Measure 3.3) 9:41 MEASURE — Performance Data (Measure 4.3) 9:57 MANAGE — Resource Allocation (Manage 2.1) 10:19 MANAGE — Unknown Risks (Manage 2.3) 10:35 MANAGE — The Kill Switch (Manage 2.4) 10:55 MANAGE — Post-Deployment Monitoring (Manage 4.1) 11:11 MANAGE — Incident Communications (Manage 4.3) 11:29 TAIMScore™: The Payoff 11:52 Framework Crosswalks — HIPAA, SOC 2, EU AI Act 13:51 Closing and How to Get Involved ────────────────────────────────────── TAIMSCORE™ ASSESSOR WORKSHOP ────────────────────────────────────── Virtual. Instructor-led. One day. Six CPEs. Third Friday of every month. 🔗 humansignal.io/taimscore_assessor_workshop ────────────────────────────────────── FAILURE FILES™ — TAIMScore™ APPLIED ────────────────────────────────────── See TAIMScore™ applied to real institutional failures: 🔗 humansignal.io/failure-files ────────────────────────────────────── RESOURCES ────────────────────────────────────── Project Cerebellum — projectcerebellum.com HISPI — hispi.org HISPI LinkedIn Group — linkedin.com/groups/6624427 Email — projectcerebellum@hispi.org ────────────────────────────────────── ABOUT HISPI PROJECT CEREBELLUM ────────────────────────────────────── Project Cerebellum is the AI Governance Think Tank of HISPI — the Holistic Information Security Practitioner Institute. The Trusted AI Model (TAIM) is a flagship framework of 72 controls across four domains that harmonize leading AI governance standards into a practical scoring system. TAIMScore™ was created by Taiye Lambo, Founder and Chief Artificial Intelligence Officer of HISPI. ────────────────────────────────────── ABOUT THE HOST ────────────────────────────────────── Dr. Tuboise Floyd, PhD is the Founder and Chief Sensemaking Officer of Human Signal, Editor in Chief of The AI Governance Record, and a TAIMScore™ Certified Assessor. He holds a PhD from Auburn University and is a member of the HISPI Advocacy & Education Working Group (Project Cerebellum). ────────────────────────────────────── CONNECT ────────────────────────────────────── Website: humansignal.io Podcast: theaigovernancebriefing.com/podcast LinkedIn: linkedin.com/in/drtuboisefloyd Email: tuboise@theaigovernancebriefing.com Govern the machine. Or be the resource it consumes. #TAIMScore #AIGovernance #AIAccountability #HISPI #ProjectCerebellum #NISTAIRMF #EUAIAct #AICompliance #FailureFiles #TrustedAIModel #DrTuboiseFloyd #HumanSignal #TheAIGovernanceBriefing #BuilderClass #AIRisk Companies mentioned in this episode: hispi Holistic Information Security Practitioner Institute Project Cerebellum Microsoft OpenAI ISO IEC HIPAA PCI DSS SoC2 EU AI Act EU GDPR White House AI Executive Order Takeaways: The podcast episode emphasizes the necessity for organizations to establish robust frameworks for AI governance, particularly through the TAIM model. The TAIM framework is designed to ensure that AI deployments are safe, secure, responsible, and trustworthy, addressing potential risks proactively. A significant focus of the episode is on the real-world examples of AI risks, illustrating the importance of governance in mitigating these risks. Effective AI governance requires continuous monitoring and assessment, ensuring that systems remain compliant with evolving regulatory standards. The TAIM score provides organizations with a concrete evaluation of their AI governance posture against relevant regulatory frameworks. The importance of interdisciplinary collaboration in AI governance is highlighted, underscoring the necessity of diverse perspectives in risk assessment. This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

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Distributed AI Has No Governor: The Structural Failure Behind Enterprise AI Accountability

EPISODE SUMMARY In this episode of The Briefing, Dr. Tuboise Floyd delivers a pointed analysis of why enterprise AI governance is failing at the structural level. The problem isn't a lack of policy — it's that governance was designed for a world that no longer exists. Distributed AI — running across edge devices, vendor stacks, and multi-agent pipelines — has dissolved the single point of control that traditional compliance frameworks depend on. ────────────────────────────────────── KEY TAKEAWAYS ────────────────────────────────────── Key Takeaway 1: Distributed AI Is a Governance Condition, Not a Technology Trend The shift to distributed AI isn't just an infrastructure evolution — it's a fundamental change in where accountability lives. When AI executes across multiple nodes, devices, or third-party systems without unified oversight, you're no longer in a governance framework. You're in a governance gap. Every edge deployment, every federated model, every multi-agent workflow is an accountability question first, a technology question second. Key Takeaway 2: The Architecture of Blame Is Predictable — and Avoidable The pattern behind every major AI failure in recent years is the same: the vendor says the output was within spec; the integrator says the client configured the workflow; the client says legal approved the policy; legal says the policy covered the old system. Nobody owns the failure. The reason isn't bad actors — it's structural ambiguity. When no one owns the decision at the node, blame distributes as efficiently as the AI does. Key Takeaway 3: "Permitted" Is Not the Same as "Admissible" A policy that allows a model to run is not the same as governance that can see what the model is doing. This visibility gap — between what is authorized on paper and what is observable in execution — is where accountability collapses. Functional governance requires audit trails, intervention triggers, and independence from vendor contracts built into the architecture itself, not appended to it. ────────────────────────────────────── DR. FLOYD'S 3 DIAGNOSTIC QUESTIONS ────────────────────────────────────── 1. Who owns the decision at the node — not the system, the decision? If the answer is vague, you have a gap. 2. What is the escalation path? A single risk officer cannot handle fifty simultaneous failures across fifty nodes. The architecture must match the distribution. 3. What accountability exists without the vendor? If your governance breaks when the vendor changes the API, you don't have governance — you have vendor dependency. ────────────────────────────────────── 3 REQUIREMENTS FOR FUNCTIONAL GOVERNANCE ────────────────────────────────────── 1. Visibility at every execution point. If you cannot see the node, you cannot govern the node. 2. Accountability without humans in every loop. Humans cannot scale to distributed AI. Audit trails and intervention triggers must be designed into the system. 3. Independence. The governance structure must survive vendor changes and contract terminations. ────────────────────────────────────── CLOSING REFLECTION ────────────────────────────────────── The winners in the AI era won't be the organizations with the best technology. They'll be the ones with the structural discipline to govern it. This week, ask yourself three things: Can you name every device where your AI is making decisions? If your vendor changed the model tonight, how long would it take you to find out? And who is responsible when failure happens inside a workflow you don't control? Architect for reality — or discover reality when the system fails. Govern the machine. Or be the resource it consumes. ────────────────────────────────────── CHAPTERS ────────────────────────────────────── 0:00 - The Illusion of Governance 0:32 - Distributed AI Outruns Policy 1:10 - The Architecture of Blame 1:52 - The Trust Gap Framework 2:18 - Permitted ≠ Admissible 2:45 - Redesigning Accountability Architecture 3:28 - 3 Diagnostic Questions 4:10 - What Functional Governance Actually Requires ────────────────────────────────────── FRAMEWORKS REFERENCED ────────────────────────────────────── → The Trust Gap — humansignal.io/frameworks/trust-gap → GASP™ (Governance As a Structural Problem) — humansignal.io/frameworks/gasp → L.E.A.C. Protocol™ — humansignal.io/leac-protocol → Failure Files™ — humansignal.io/failure-files → TAIMScore™ Assessor Workshop — humansignal.io/taimscore_assessor_workshop ────────────────────────────────────── ABOUT THE HOST ────────────────────────────────────── Dr. Tuboise Floyd is the Founder and Chief Sensemaking Officer of Human Signal — an independent AI governance research and media platform based in Washington, DC. He is the Editor in Chief of The AI Governance Record, Host of The AI Governance Briefing, and a TAIMScore™ Certified Assessor (HISPI, March 2026). A PhD social scientist (Auburn University, Adult Education / Systems Theory), Dr. Floyd reverse-engineers institutional AI failures and builds governance frameworks that operators can actually use. His canonical thesis: most institutions will not fail because of a bad AI model. They will fail because of a broken governance structure around it. Independence is not a feature. It is the product. ────────────────────────────────────── SUPPORT THE SHOW ────────────────────────────────────── Help fuel independent AI governance research, new episodes, and the Failure Files™ series. 🔗 https://theaigovernancebriefing.com/support Every contribution sustains the signal. ────────────────────────────────────── PRODUCTION NOTES ────────────────────────────────────── Host & Producer: Dr. Tuboise Floyd Creative Director: Jeremy Jarvis A Human Signal Production Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound. ────────────────────────────────────── CONNECT ────────────────────────────────────── Website: humansignal.io Podcast: theaigovernancebriefing.com LinkedIn: linkedin.com/in/drtuboisefloyd Email: tuboise@theaigovernancebriefing.com General inquiries: hello@theaigovernancebriefing.com ────────────────────────────────────── TRANSCRIPT ────────────────────────────────────── Full transcript available upon request at hello@theaigovernancebriefing.com ────────────────────────────────────── LEGAL ────────────────────────────────────── © 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™, and L.E.A.C. Protocol™. Human Signal is an independent research and media platform. Nothing in this episode constitutes legal, regulatory, compliance, or professional advice. ────────────────────────────────────── TAGS ────────────────────────────────────── AI governance, AI accountability, distributed AI, AI policy, responsible AI, AI compliance, AI risk management, AI at the edge, federated learning, multi-agent systems, edge computing AI, AI governance framework, AI accountability gap, AI oversight, trust gap framework, AI leadership, AI regulation, AI vendor risk, governance architecture, AI decision making, AI audit trail, AI policy failure, AI governance failure, GASP framework, L.E.A.C. Protocol, Failure Files, TAIMScore, Dr. Tuboise Floyd, Human Signal, The AI Governance Briefing This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

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AI Governance Open Forum: Critical Thinking, Risk, and “Never Blindly Trust—Always Verify”

EPISODE DESCRIPTION At a laid-back campus open forum, students are invited to ask questions about AI governance to Taiye Lambo, Founder and Chief Artificial Intelligence Officer of the Holistic Information Security Practitioner Institute (HISPI), and Dr. Tuboise Floyd, Founder of Human Signal and Host of The AI Governance Briefing. Speakers frame AI literacy as a civic and professional survival skill — not a technical one. Employers now expect workers to critically evaluate AI outputs, not just use them. The conversation covers deepfakes and short-form media manipulation, the dangers of overreliance on AI (including the attorney who cited fabricated ChatGPT case law in federal court), the principle of "never blindly trust, always verify," and the structural need for continuous auditing, accountability, and an honest human in the loop — especially in clinical and environmental contexts. Students are advised to build strong domain knowledge, think critically, pursue internships, and invest in AI governance and risk certifications over tool-specific training. ────────────────────────────────────── CHAPTERS ────────────────────────────────────── 00:00 Welcome and Setup 00:52 Meet the Experts 01:57 Taiye on Governance Focus 02:53 Dr. Floyd Background and Podcast 04:39 Open Forum Begins 05:02 AI Literacy for Careers 07:23 Threat or Opportunity Poll 10:01 AI Literacy Beyond STEM 10:49 Spotting Deepfakes in Shorts 15:35 Using AI Without Replacing Learning 16:14 Lawyer Case and Overtrusting AI 18:08 Never Blindly Trust — Verify 19:06 Wikipedia Analogy and Real Risks 20:31 Business Ethics Reality Check 21:06 Continuous Audits in Clinics 21:28 Human in the Loop Matters 22:04 Environmental AI Data Gaps 23:13 Public Trust and Accountability 23:33 Honest Human Oversight 25:28 Tokens and Hallucinations 26:51 Bias in Training Data 27:56 Interviewing in the AI Era 30:28 AI Disruption and Generational Shift 33:21 High-Stakes AI Blind Spots 36:02 Rapid Fire Career Advice 41:03 Closing and Next Steps ────────────────────────────────────── GUEST ────────────────────────────────────── Taiye Lambo Founder & Chief Artificial Intelligence Officer Holistic Information Security Practitioner Institute (HISPI) 🔗 https://www.hispi.org 🔗 https://projectcerebellum.com LinkedIn: linkedin.com/in/taiyelambo TAIMScore™ Assessor Workshop 🔗 https://humansignal.io/taimscore_assessor_workshop ────────────────────────────────────── FRAMEWORKS REFERENCED ────────────────────────────────────── → The Trust Gap — humansignal.io/frameworks/trust-gap → GASP™ (Governance As a Structural Problem) — humansignal.io/frameworks/gasp → Failure Files™ — humansignal.io/failure-files → TAIMScore™ Assessor Workshop — humansignal.io/taimscore → L.E.A.C. Protocol™ — humansignal.io/leac-protocol ────────────────────────────────────── KEY TAKEAWAYS ────────────────────────────────────── 1. AI governance is the structural discipline that makes ethical decision-making and risk mitigation possible — not a compliance checkbox. 2. Employers now expect candidates to critically evaluate AI outputs. Using AI without scrutiny is a liability, not a skill. 3. AI literacy is not a STEM competency. It is a professional survival skill for every sector. 4. Human oversight is not optional in high-stakes AI deployments. Audit trails and intervention triggers must be designed in — not appended after failure. 5. Understanding how AI systems are trained matters — especially in healthcare, law, and environmental contexts where bad data produces dangerous outputs. 6. Domain knowledge, critical thinking, and governance certifications outperform tool-specific training in a market where the tools change every six months. ────────────────────────────────────── SUPPORT THE SHOW ────────────────────────────────────── Subscribe now to lock in the feed. This isn't just content — it's a continuing briefing for the Builder Class. Help fuel independent AI governance research, new episodes, and the Failure Files™ series. 🔗 https://theaigovernancebriefing.com/support Every contribution sustains the signal. ────────────────────────────────────── ABOUT THE HOST ────────────────────────────────────── Dr. Tuboise Floyd is the Founder and Chief Sensemaking Officer of Human Signal — an independent AI governance research and media platform based in Washington, DC. He is the Editor in Chief of The AI Governance Record, Host of The AI Governance Briefing, and a TAIMScore™ Certified Assessor (HISPI, March 2026). A PhD social scientist (Auburn University, Adult Education / Systems Theory), Dr. Floyd reverse-engineers institutional AI failures and builds governance frameworks that operators can actually use. His canonical thesis: most institutions will not fail because of a bad AI model. They will fail because of a broken governance structure around it. Independence is not a feature. It is the product. ────────────────────────────────────── PRODUCTION NOTES ────────────────────────────────────── Host & Producer: Dr. Tuboise Floyd Creative Director: Jeremy Jarvis A Human Signal Production Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound. ────────────────────────────────────── CONNECT ────────────────────────────────────── Website: humansignal.io Podcast: theaigovernancebriefing.com LinkedIn: linkedin.com/in/drtuboisefloyd Email: tuboise@theaigovernancebriefing.com General inquiries: hello@theaigovernancebriefing.com ────────────────────────────────────── TRANSCRIPT ────────────────────────────────────── Full transcript available at: https://humansignal.io/blog/ai-governance-open-forum-never-blindly-trust-verify ────────────────────────────────────── LEGAL ────────────────────────────────────── © 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™, and L.E.A.C. Protocol™. Human Signal is an independent research and media platform. Nothing in this episode constitutes legal, regulatory, compliance, or professional advice. Guest opinions are those of the guest alone. ────────────────────────────────────── TAGS ────────────────────────────────────── AI governance, AI literacy, AI accountability, AI policy, responsible AI, AI compliance, AI risk management, AI ethics, enterprise AI, government AI, technology leadership, deepfakes, AI hallucination, AI training data bias, human in the loop, AI oversight, AI career advice, AI governance certification, TAIMScore, GASP framework, Failure Files, Trust Gap, never blindly trust verify, Project Cerebellum, HISPI, Taiye Lambo, Dr. Tuboise Floyd, Human Signal, The AI Governance Briefing This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

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Korean Air KC&D: Supply Chain Breach and the Data That Never Left

EPISODE DESCRIPTION In this episode of The Briefing, Dr. Tuboise Floyd breaks down the Korean Air / KC&D supply chain breach — a forensic autopsy of what happens when data governance doesn't travel with the data. In December 2025, Korean Air disclosed that 30,000 employee records were stolen. The breach didn't come through Korean Air's systems. It came through KC&D Service — a catering subsidiary spun off and sold to private equity in 2020. Five years later, KC&D was still holding Korean Air employee data on an unpatched Oracle ERP server. The Cl0p ransomware group exploited CVE-2025-61882 — CVSS 9.8 — and published 500GB on a dark web leak site. Six TAIMScore™ controls failed simultaneously. Three domains. All because the data moved out of sight — not out of risk. This is a Failure File™. Not a warning. A forensic record. ────────────────────────────────────── KEY TOPICS ────────────────────────────────────── ∙ Supply chain governance and third-party vendor risk ∙ What happens when a divestiture doesn't include data governance ∙ The Oracle EBS zero-day and its 100+ organizational victims ∙ TAIMScore™ forensic: GOVERN, MAP, and MANAGE domain failures ∙ The one question every institution needs to ask today ────────────────────────────────────── FRAMEWORKS REFERENCED ────────────────────────────────────── → Failure Files™ — humansignal.io/failure-files → TAIMScore™ Assessor Workshop — humansignal.io/taimscore_assessor_workshop → GASP™ (Governance As a Structural Problem) — humansignal.io/frameworks/gasp → The Trust Gap — humansignal.io/frameworks/trust-gap → L.E.A.C. Protocol™ — humansignal.io/leac-protocol ────────────────────────────────────── SUPPORT THE SHOW ────────────────────────────────────── Subscribe now to lock in the feed. This isn't just content — it's a continuing briefing for the Builder Class. Help fuel independent AI governance research, new episodes, and the Failure Files™ series. 🔗 https://theaigovernancebriefing.com/support Every contribution sustains the signal. ────────────────────────────────────── ABOUT THE HOST ────────────────────────────────────── Dr. Tuboise Floyd is the Founder and Chief Sensemaking Officer of Human Signal — an independent AI governance research and media platform based in Washington, DC. He is the Editor in Chief of The AI Governance Record, Host of The AI Governance Briefing, and a TAIMScore™ Certified Assessor (HISPI, March 2026). A PhD social scientist (Auburn University, Adult Education / Systems Theory), Dr. Floyd reverse-engineers institutional AI failures and builds governance frameworks that operators can actually use. His canonical thesis: most institutions will not fail because of a bad AI model. They will fail because of a broken governance structure around it. Independence is not a feature. It is the product. ────────────────────────────────────── PRODUCTION NOTES ────────────────────────────────────── Host & Producer: Dr. Tuboise Floyd Creative Director: Jeremy Jarvis A Human Signal Production Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound. ────────────────────────────────────── CONNECT ────────────────────────────────────── Website: humansignal.io Podcast: theaigovernancebriefing.com LinkedIn: linkedin.com/in/drtuboisefloyd Email: tuboise@theaigovernancebriefing.com General inquiries: hello@theaigovernancebriefing.com ────────────────────────────────────── TRANSCRIPT ────────────────────────────────────── Full transcript available at: https://theaigovernancebriefing.com/blog ────────────────────────────────────── LEGAL ────────────────────────────────────── © 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™, and L.E.A.C. Protocol™. Human Signal is an independent research and media platform. Nothing in this episode constitutes legal, regulatory, compliance, or professional advice. Case studies are based on publicly available information and presented as pedagogical tools — not legal findings or accusations of wrongdoing. ────────────────────────────────────── TAGS ────────────────────────────────────── AI governance, supply chain risk, third-party vendor risk, data breach, Korean Air, KC&D, Cl0p ransomware, Oracle EBS, CVE-2025-61882, TAIMScore, TAIM framework, Failure Files, institutional risk, data governance, divestiture risk, vendor oversight, AI accountability, GASP framework, Trust Gap, governance failure, Dr. Tuboise Floyd, Human Signal, The AI Governance Briefing This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

AI Governance: Balancing Innovation With Risk Management

EPISODE DESCRIPTION In this episode of The Briefing, Dr. Tuboise Floyd is joined by Col. Kathy Swacina (USA, Ret.), CIO of SherpaWerx, and Taiye Lambo, Founder and Chief Artificial Intelligence Officer of the Holistic Information Security Practitioner Institute (HISPI), to discuss Project Cerebellum, AI governance, and balancing innovation with risk management. The conversation cuts to the structural reality: without a holistic control layer, the race to be first with AI produces institutions that are exposed before they know it. The panel covers the evolving role of CIOs in AI oversight, what it actually means to build accountability into AI systems, and why most risk management frameworks fail at execution. This is not a theoretical discussion. These are practitioners who have governed AI in high-stakes environments. ────────────────────────────────────── KEY TOPICS ────────────────────────────────────── ∙ Project Cerebellum and holistic AI control layers ∙ The race to AI deployment vs. responsible governance ∙ The evolving role of CIOs in AI oversight ∙ Building accountability into AI systems — not appending it after deployment ∙ Risk management frameworks that survive real humans, real incentives, and real pressure ────────────────────────────────────── GUESTS ────────────────────────────────────── Col. Kathy Swacina (USA, Ret.) CIO, SherpaWerx Chair, HISPI AI Think Tank — Project Cerebellum 🔗 https://sherpawerx.com Taiye Lambo Founder & Chief Artificial Intelligence Officer Holistic Information Security Practitioner Institute (HISPI) 🔗 https://www.hispi.org 🔗 https://projectcerebellum.com LinkedIn: linkedin.com/in/taiyelambo TAIMScore™ Assessor Workshop 🔗 https://humansignal.io/taimscore_assessor_workshop ────────────────────────────────────── FRAMEWORKS REFERENCED ────────────────────────────────────── → Failure Files™ — humansignal.io/failure-files → TAIMScore™ Assessor Workshop — humansignal.io/taimscore_assessor_workshop → GASP™ (Governance As a Structural Problem) — humansignal.io/frameworks/gasp → The Trust Gap — humansignal.io/frameworks/trust-gap → L.E.A.C. Protocol™ — humansignal.io/leac-protocol ────────────────────────────────────── SUPPORT THE SHOW ────────────────────────────────────── Subscribe now to lock in the feed. This isn't just content — it's a continuing briefing for the Builder Class. Help fuel independent AI governance research, new episodes, and the Failure Files™ series. 🔗 https://theaigovernancebriefing.com/support Every contribution sustains the signal. ────────────────────────────────────── ABOUT THE HOST ────────────────────────────────────── Dr. Tuboise Floyd is the Founder and Chief Sensemaking Officer of Human Signal — an independent AI governance research and media platform based in Washington, DC. He is the Editor in Chief of The AI Governance Record, Host of The AI Governance Briefing, and a TAIMScore™ Certified Assessor (HISPI, March 2026). A PhD social scientist (Auburn University, Adult Education / Systems Theory), Dr. Floyd reverse-engineers institutional AI failures and builds governance frameworks that operators can actually use. His canonical thesis: most institutions will not fail because of a bad AI model. They will fail because of a broken governance structure around it. Independence is not a feature. It is the product. ────────────────────────────────────── PRODUCTION NOTES ────────────────────────────────────── Host & Producer: Dr. Tuboise Floyd Creative Director: Jeremy Jarvis A Human Signal Production Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound. ────────────────────────────────────── CONNECT ────────────────────────────────────── Website: humansignal.io Podcast: theaigovernancebriefing.com LinkedIn: linkedin.com/in/drtuboisefloyd Email: tuboise@theaigovernancebriefing.com General inquiries: hello@theaigovernancebriefing.com ────────────────────────────────────── TRANSCRIPT ────────────────────────────────────── Full transcript available at: https://theaigovernancebriefing.com/blog ────────────────────────────────────── LEGAL ────────────────────────────────────── © 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™, and L.E.A.C. Protocol™. Human Signal is an independent research and media platform. Nothing in this episode constitutes legal, regulatory, compliance, or professional advice. Guest opinions are those of the guest alone. ────────────────────────────────────── TAGS ────────────────────────────────────── AI governance, risk management, AI innovation, Project Cerebellum, CIO leadership, AI accountability, AI policy, enterprise AI, government AI, technology leadership, AI oversight, AI control layer, AI ethics, TAIMScore, GASP framework, Trust Gap, Failure Files, HISPI, Col. Kathy Swacina, Taiye Lambo, Dr. Tuboise Floyd, Human Signal, The AI Governance Briefing This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

• Transcript

Amazon Broomway: When GPS Routes a Driver Into a Tidal Death Trap

EPISODE DESCRIPTION In this episode of The Briefing, Dr. Tuboise Floyd breaks down the Amazon delivery van reportedly stranded on the Broomway — one of Britain's most dangerous tidal tracks in Essex — after blindly following GPS directions toward Foulness Island. No alert. No override. No human in the loop. This isn't a story about bad technology. It's a story about ungoverned automation making context-free decisions about human movement in the physical world. And it's exactly the kind of incident the HISPI Project Cerebellum AI Incidents database exists to document — so organizations can stop repeating the same failures. ────────────────────────────────────── THE INCIDENT ────────────────────────────────────── An Amazon delivery van followed GPS routing onto the Broomway — a tidal road across the mudflats of the Thames Estuary that floods rapidly and without visible warning. The system had no awareness of tidal zones, flood-risk roads, or environmental danger conditions. The driver had no alert, no override prompt, and no human checkpoint between the algorithm's instruction and physical execution. The Broomway is one of the oldest roads in England, dating to the 1600s. It runs across tidal mudflats and has claimed numerous lives. It is considered one of the most dangerous roads in the United Kingdom. ────────────────────────────────────── TAIMSCORE™ FAILURE ANALYSIS ────────────────────────────────────── Running this incident through a TAIMScore™ lens reveals failure across three critical dimensions: ❌ Safety — FAIL No guardrails for hazardous geographic areas. The routing system had no awareness of tidal zones, flood-risk roads, or environmental danger conditions. A system operating in the physical world with zero environmental context is an unacceptable safety liability. ❌ Trust — FAIL When workers discover that guidance systems can route them into danger, trust collapses — not just in that system, but in all automated guidance. The second-order effect is that workers either override systems entirely (defeating the purpose) or follow blindly (accepting the risk). Neither is acceptable. ❌ Responsibility — FAIL Who owns the risk when an algorithm routes a human into danger? The driver? The dispatcher? The software vendor? The organization deploying the tool? Without clear accountability architecture, no one owns it — until someone gets hurt. ────────────────────────────────────── THE CORE THESIS ────────────────────────────────────── The technology works exactly as designed. The governance around it does not exist. ────────────────────────────────────── FRAMEWORKS REFERENCED ────────────────────────────────────── → TAIMScore™ Assessor Workshop — humansignal.io/taimscore_assessor_workshop → HISPI Project Cerebellum — projectcerebellum.com → Failure Files™ — humansignal.io/failure-files → GASP™ (Governance As a Structural Problem) — humansignal.io/frameworks/gasp → The Trust Gap — humansignal.io/frameworks/trust-gap → L.E.A.C. Protocol™ — humansignal.io/leac-protocol ────────────────────────────────────── SUPPORT THE SHOW ────────────────────────────────────── Subscribe now to lock in the feed. This isn't just content — it's a continuing briefing for the Builder Class. Help fuel independent AI governance research, new episodes, and the Failure Files™ series. 🔗 https://theaigovernancebriefing.com/support Every contribution sustains the signal. ────────────────────────────────────── ABOUT THE HOST ────────────────────────────────────── Dr. Tuboise Floyd is the Founder and Chief Sensemaking Officer of Human Signal — an independent AI governance research and media platform based in Washington, DC. He is the Editor in Chief of The AI Governance Record, Host of The AI Governance Briefing, and a TAIMScore™ Certified Assessor (HISPI, March 2026). A PhD social scientist (Auburn University, Adult Education / Systems Theory), Dr. Floyd reverse-engineers institutional AI failures and builds governance frameworks that operators can actually use. His canonical thesis: most institutions will not fail because of a bad AI model. They will fail because of a broken governance structure around it. Independence is not a feature. It is the product. ────────────────────────────────────── PRODUCTION NOTES ────────────────────────────────────── Host & Producer: Dr. Tuboise Floyd Creative Director: Jeremy Jarvis A Human Signal Production Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound. ────────────────────────────────────── CONNECT ────────────────────────────────────── Website: humansignal.io Podcast: theaigovernancebriefing.com LinkedIn: linkedin.com/in/drtuboisefloyd Email: tuboise@theaigovernancebriefing.com General inquiries: hello@theaigovernancebriefing.com ────────────────────────────────────── TRANSCRIPT ────────────────────────────────────── Full transcript available upon request at hello@theaigovernancebriefing.com ────────────────────────────────────── LEGAL ────────────────────────────────────── © 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™, and L.E.A.C. Protocol™. Human Signal is an independent research and media platform. Nothing in this episode constitutes legal, regulatory, compliance, or professional advice. Case studies are based on publicly available information and presented as pedagogical tools — not legal findings or accusations of wrongdoing. ────────────────────────────────────── TAGS ────────────────────────────────────── AI governance, ungoverned automation, GPS failure, logistics AI, AI safety, AI accountability, human in the loop, AI risk, responsible AI, AI incidents, AI ethics, TAIMScore, GASP framework, Trust Gap, Failure Files, Project Cerebellum, HISPI, physical world AI, autonomous systems, AI liability, Dr. Tuboise Floyd, Human Signal, The AI Governance Briefing This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

Making Digital Accessibility Work In The AI Era | Dr. Michele A. Williams

EPISODE DESCRIPTION In this episode of The Briefing, Dr. Tuboise Floyd is joined by Dr. Michele A. Williams — UX and accessibility consultant and author of Accessible UX Research — to examine why digital accessibility failures across 97% of the web create equity, resilience, and trust risks that AI can magnify at scale. Dr. Williams contrasts the medical and social models of disability, addresses ableism and language (person-first vs. identity-first), and argues that checklists cannot replace lived experience or disabled participation in UX research and leadership. The conversation covers how inaccessible code tools and AI trained on inaccessible data produce compounding issues — missing labels, broken keyboard paths, poor semantic structure — and warns against disability dongles: technology solutions that add a layer instead of removing the systemic barrier. Dr. Williams closes with a practical 90-day plan: establish a baseline with scans and process mapping, change defaults, and normalize inclusion from the inside out. Nothing about us without us. ────────────────────────────────────── CHAPTERS ────────────────────────────────────── 00:00 Accessibility Wake Up Call 00:57 Meet Dr. Michele Williams 02:07 Equity, Resilience, Trust 04:01 Disability Mindset Shift 05:59 Why Lived Experience Matters 07:14 Person First vs. Identity First 13:01 AI Promise and Harm 15:23 Social Model In Practice 19:58 Beyond Screen Readers 25:02 Exclusion Inside Real Teams 26:58 Semantic Code Chaos 28:32 Standards Lag Tech 29:12 Siri Zoom Panic 31:23 Disability Dongles 33:36 AI Hype Reality 37:25 Beyond Checklists 40:32 90 Day Baseline 42:30 Change Defaults 44:17 Normalize Inclusion 46:47 Nothing About Us 49:13 One Action This Week 50:35 Closing Credits ────────────────────────────────────── GUEST ────────────────────────────────────── Dr. Michele A. Williams UX and Accessibility Consultant Author, Accessible UX Research — Smashing Magazine 🔗 https://mawconsultingllc.com LinkedIn: linkedin.com/in/micheleawilliams1 Accessible UX Research Publisher: Smashing Magazine 🔗 https://www.smashingmagazine.com/2025/06/accessible-ux-research-pre-release/ ────────────────────────────────────── WATCH ON YOUTUBE ────────────────────────────────────── 🎥 https://youtu.be/pxXLNsbyJhc?si=Dt9mf2HK4AtyCx6_ ────────────────────────────────────── KEY TAKEAWAYS ────────────────────────────────────── 1. 97% of the web contains accessibility barriers that actively exclude disabled individuals — this is not a niche compliance issue, it is a structural governance failure at scale. 2. Accessibility is not a checklist. Genuine inclusion requires disabled participation in UX research, leadership, and product decisions from the start. 3. AI trained on inaccessible data reproduces and amplifies inaccessibility. The governance problem precedes the technology problem. 4. Disability dongles — technology layered on top of broken systems — are not solutions. They are evidence that the underlying barrier was never addressed. 5. Organizations serious about inclusion must change defaults, not add accommodations after the fact. ────────────────────────────────────── COMPANIES REFERENCED ────────────────────────────────────── Smashing Magazine · Accessibe ────────────────────────────────────── FRAMEWORKS REFERENCED ────────────────────────────────────── → Failure Files™ — humansignal.io/failure-files → GASP™ (Governance As a Structural Problem) — humansignal.io/frameworks/gasp → The Trust Gap — humansignal.io/frameworks/trust-gap → TAIMScore™ Assessor Workshop — humansignal.io/taimscore_assessor_workshop → L.E.A.C. Protocol™ — humansignal.io/leac-protocol ────────────────────────────────────── SUPPORT THE SHOW ────────────────────────────────────── Subscribe now to lock in the feed. This isn't just content — it's a continuing briefing for the Builder Class. Help fuel independent AI governance research, new episodes, and the Failure Files™ series. 🔗 https://theaigovernancebriefing.com/support Every contribution sustains the signal. ────────────────────────────────────── ABOUT THE HOST ────────────────────────────────────── Dr. Tuboise Floyd is the Founder and Chief Sensemaking Officer of Human Signal — an independent AI governance research and media platform based in Washington, DC. He is the Editor in Chief of The AI Governance Record, Host of The AI Governance Briefing, and a TAIMScore™ Certified Assessor (HISPI, March 2026). A PhD social scientist (Auburn University, Adult Education / Systems Theory), Dr. Floyd reverse-engineers institutional AI failures and builds governance frameworks that operators can actually use. His canonical thesis: most institutions will not fail because of a bad AI model. They will fail because of a broken governance structure around it. Independence is not a feature. It is the product. ────────────────────────────────────── PRODUCTION NOTES ────────────────────────────────────── Host & Producer: Dr. Tuboise Floyd Creative Director: Jeremy Jarvis A Human Signal Production Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound. ────────────────────────────────────── CONNECT ────────────────────────────────────── Website: humansignal.io Podcast: theaigovernancebriefing.com LinkedIn: linkedin.com/in/drtuboisefloyd Email: tuboise@theaigovernancebriefing.com General inquiries: hello@theaigovernancebriefing.com ────────────────────────────────────── TRANSCRIPT ────────────────────────────────────── Full transcript available upon request at hello@theaigovernancebriefing.com ────────────────────────────────────── LEGAL ────────────────────────────────────── © 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™, and L.E.A.C. Protocol™. Human Signal is an independent research and media platform. Nothing in this episode constitutes legal, regulatory, compliance, or professional advice. Guest opinions are those of the guest alone. ────────────────────────────────────── TAGS ────────────────────────────────────── digital accessibility, AI accessibility, UX research, accessible design, disability inclusion, web accessibility, WCAG, screen readers, semantic HTML, keyboard navigation, disability dongles, social model of disability, medical model of disability, person first language, identity first language, ableism, inclusive design, AI bias, AI training data, AI governance, equity resilience trust, 97 percent web accessibility, nothing about us without us, Dr. Michele Williams, Accessible UX Research, Smashing Magazine, Dr. Tuboise Floyd, Human Signal, The AI Governance Briefing This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

• Transcript

Digital Accessibility In An AI World

Digital Accessibility In An AI World — 2026 As a podcast host exploring the intersection of humanity and technology, I keep asking: Are we really including everyone in our digital transformation? Dr. Michele A. Williams — UX and Accessibility Consultant, author of Accessible UX Research (Smashing Magazine) — challenges us to move beyond checklists and design with, not for, disabled users. Now live on The Briefing: Dr. Michele A. Williams joins Dr. Tuboise Floyd to break down how to make digital accessibility work in an AI world. 🔗 https://mawconsultingllc.com Accessibility is not just about digital spaces. Accessibility is about fundamental human rights. What leaders and operators need to know: ✓ How to spot invisible exclusion in UX research and code ✓ Moving beyond compliance checklists to build truly inclusive systems ✓ Using AI for captions and alt text without creating new barriers ✓ The 90-day accessibility baseline your team can sustain Because real inclusion means ensuring everyone has access to the places and systems they need — whether digital or physical. Nothing about us without us. ────────────────────────────────────── PRODUCTION NOTES ────────────────────────────────────── Host & Producer: Dr. Tuboise Floyd Creative Director: Jeremy Jarvis A Human Signal Production Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound. ────────────────────────────────────── CONNECT ────────────────────────────────────── Website: humansignal.io Podcast: theaigovernancebriefing.com LinkedIn: linkedin.com/in/drtuboisefloyd Email: tuboise@theaigovernancebriefing.com ────────────────────────────────────── TRANSCRIPT ────────────────────────────────────── Full transcript available upon request at hello@theaigovernancebriefing.com ────────────────────────────────────── LEGAL ────────────────────────────────────── © 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™, and L.E.A.C. Protocol™. ────────────────────────────────────── TAGS ────────────────────────────────────── #TheAIGovernanceBriefing #HumanSignal #DigitalAccessibility #ArtificialIntelligence #InclusiveDesign #UXResearch #TechLeadership #Accessibility #AIGovernance #NothingAboutUsWithoutUs #AccessibleUXResearch #DisabilityInclusion This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy

AI Activism For Insiders: This Is Not Ethics Work

AI Activism For Insiders — This Is Not Ethics Work | 2026 🧠 About Human Signal Human Signal is an independent AI governance research and media platform. Through the L.E.A.C. Protocol™, GASP™, Noise Discipline, and the Workflow Thesis, we reverse-engineer where governance erodes under capital pressure — and where external oversight must be applied. Independence is not a feature. It is the product. 🔗 humansignal.io ────────────────────────────────────── PRODUCTION NOTES ────────────────────────────────────── Host & Producer: Dr. Tuboise Floyd Creative Director: Jeremy Jarvis A Human Signal Production Recorded with true analog warmth. No artificial polish, no algorithmic smoothing. Just pure signal and real presence for leaders who value authentic sound. ────────────────────────────────────── CONNECT ────────────────────────────────────── Website: humansignal.io Podcast: theaigovernancebriefing.com LinkedIn: linkedin.com/in/drtuboisefloyd Email: tuboise@theaigovernancebriefing.com General inquiries: hello@theaigovernancebriefing.com ────────────────────────────────────── TRANSCRIPT ────────────────────────────────────── Full transcript available upon request at hello@theaigovernancebriefing.com ────────────────────────────────────── LEGAL ────────────────────────────────────── © 2026 Dr. Tuboise Floyd. All rights reserved. Content is part of the Presence Signaling Architecture® (PSA), GASP™, and L.E.A.C. Protocol™. Human Signal is an independent research and media platform. Nothing in this episode constitutes legal, regulatory, compliance, or professional advice. ────────────────────────────────────── TAGS ────────────────────────────────────── #TheAIGovernanceBriefing #HumanSignal #AIGovernance #AIActivism #ResponsibleAI #AIAccountability #GovernanceCollapse #NoiseDisciipline #LEACProtocol #GASP #WorkflowThesis #FrontierAI #AIPolicy #AIEthics #AIInsiders This podcast uses the following third-party services for analysis: OP3 - https://op3.dev/privacy