AI incidents, audits, and the limits of benchmarks
Falha ao colocar no Carrinho.
Tente novamente mais tarde
Falha ao adicionar à Lista de Desejos.
Tente novamente mais tarde
Falha ao remover da Lista de Desejos
Tente novamente mais tarde
Falha ao adicionar à Biblioteca
Tente outra vez
Falha ao seguir podcast
Tente outra vez
Falha ao parar de seguir podcast
Tente outra vez
AI incidents, audits, and the limits of benchmarks
-
Narrado por:
-
De:
Sobre este título
AI is moving fast from research to real-world deployment, and when things go wrong, the consequences are no longer hypothetical. In this episode, Sean McGregor, co-founder of the AI Verification & Evaluation Research Institute and also the founder of the AI Incident Database, joins Chris and Dan to discuss AI safety, verification, evaluation, and auditing. They explore why benchmarks often fall short, what red-teaming at DEF CON reveals about machine learning risks, and how organizations can better assess and manage AI systems in practice.
Featuring:
- Sean McGregor– LinkedIn
- Chris Benson – Website, LinkedIn, Bluesky, GitHub, X
- Daniel Whitenack – Website, GitHub, X
Links:
- AI Verification & Evaluation Research Institute
- AI Incident Database
- 38th convening of IAAI
- BenchRisk
- State of Global AI Incident Reporting
Upcoming Events:
- Register for upcoming webinars here!
Ainda não há avaliações