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Gartner ThinkCast · Thursday · 37 min

AI Ethics Explained: Preparing for the Human-AI Future

AI adoption is accelerating. But are organizations moving just as fast on AI ethics? In this episode of ThinkCast, Gartner Senior Principal Analyst Shanna Grafeld explores why AI ethics has become a business imperative, not just a technology concern. From human rights risks and workforce trust to governance, accountability and the evolving human-AI relationship, hear how leaders can stay ahead of AI challenges before they become costly problems. You'll learn: Why AI ethics is shifting from a compliance issue to a strategic business priority The human rights and trust risks organizations should be evaluating today How leaders can encourage AI adoption without creating overdependence What effective AI governance looks like in practice Dig deeper: Become a client to learn more about AI ethics Join us at Gartner IT Symposium/Xpo™ See why Gartner is the world authority on AI Timestamps: (00:42) Why AI ethics is now a business issue (02:31) Lessons from past technologies (04:40) Rethinking the human-AI relationship (09:50) Increase capability, not reduce accountability (12:20) The fears leaders should take seriously (15:00) Addressing workforce anxiety (19:52) Building proactive AI guardrails (28:24) The biggest challenges ahead (31:10) Where leaders should start today

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show notes

AI adoption is accelerating. But are organizations moving just as fast on AI ethics?

In this episode of ThinkCast, Gartner Senior Principal Analyst Shanna Grafeld explores why AI ethics has become a business imperative, not just a technology concern. From human rights risks and workforce trust to governance, accountability and the evolving human-AI relationship, hear how leaders can stay ahead of AI challenges before they become costly problems.

You'll learn:

  • Why AI ethics is shifting from a compliance issue to a strategic business priority
  • The human rights and trust risks organizations should be evaluating today
  • How leaders can encourage AI adoption without creating overdependence
  • What effective AI governance looks like in practice

Dig deeper:

Timestamps:

(00:42) Why AI ethics is now a business issue

(02:31) Lessons from past technologies

(04:40) Rethinking the human-AI relationship

(09:50) Increase capability, not reduce accountability

(12:20) The fears leaders should take seriously

(15:00) Addressing workforce anxiety

(19:52) Building proactive AI guardrails

(28:24) The biggest challenges ahead

(31:10) Where leaders should start today

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