Addressing governance, safety, and sovereignty challenges of increasingly autonomous systems — from evaluation frameworks to regulatory trends.
Dark Factory governance: who guarantees trust when 100% of code is AI-generated?
Three pillars: Spec governance, Agent trust & identity, Provenance
EU AI Act compliance and regulatory frameworks
Sovereign AI models and evaluation frameworks
Accountability in multi-agent systems
Transparency and explainability requirements
Risk assessment methodologies for agentic AI
International cooperation on AI governance
Trusted Agentic AI rests on three pillars: Spec governance (ensuring intent is faithfully translated), Agent trust & identity (authentication and capability certification), and Provenance (tracking the origin and lineage of AI-generated artifacts). This track brings together policymakers, technologists, and civil society to address these challenges.