Verifiable AI Needs Receipts, Not Confidence Scores

This story was originally published on HackerNoon at: https://hackernoon.com/verifiable-ai-needs-receipts-not-confidence-scores. ClaimAudit turns AI claims into reproducible receipts using pinned evidence, payload hashes, explicit rules, adversarial checks, and audit trails. Check more stories related to web3 at: https://hackernoon.com/c/web3. You can also check exclusive content about #decentralize-ai, #decentralize-ai-hackathon, #agentic-ai, #ai-governance, #verifiable-ai, #cryptography, #claimaudit, #ai-security, and more. This story was written by: @kaminari-research. Learn more about this writer by checking @kaminari-research's about page, and for more stories, please visit hackernoon.com. ClaimAudit turns AI-agent claims into reproducible audit receipts by fetching pinned primary evidence, hashing the payload, applying explicit verification rules, challenging the evidence with a critic, and recording why each claim was verified, rejected, or left unresolved.