AI for Good Hot Takes: Trust, Identity, and Accountability for AI Agents

In this DIF Hot Takes session, Damian Glover and Ward Duchamps reflect on AI for Good and discuss emerging approaches to trust management for AI agents. Topics include: ✅ Trust as a bottleneck to scaling AI agents ✅ Transparency, accountability, and governance ✅ Monitoring and signaling across distributed agent ecosystems ✅ Agent identity, authority, lineage, and remote attestation ✅ Cross-domain identity for AI agents ✅ Why human-in-the-loop approaches may not scale on their own ✅ Whether attestations should be bound to individual agents or to their interactions and distributed transactions The conversation also explores the role of standards and open collaboration as AI systems become increasingly distributed and autonomous.