Panel: Trustworthy AI: Enhancing Human Agency and Machine Accountability in the Age of Agentic AI
summary
Panel describes a working stack: a blockchain-backed DPI with 140+ validator nodes across universities, a functional ID mapped to user avatars in Polyverse city, and timestamped credentials that feed personalized agents expected within 2–3 years. Empirical constraints: ASR accuracy falls to ~60–70% outside metros and quality testing rises from 1% to 10% testing sample for AI calls. Guardrails center on verifiable identity, credential provenance and decentralized governance.
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chapters (8)
- 0:00Trustworthy AI panel intro
- 1:46Panelist definitions
- 8:14Agentic AI in India
- 13:54AI infrastructure challenges
- 15:38AI governance trends
- 16:20Polyversity project
- 21:40AI governance policy
- 30:11Call to action
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