As AI systems introduce new attack surfaces, cybersecurity becomes a foundational element of oversight. Carlos Antunes outlines key threat vectors, resilience strategies, and practical measures supervisory authorities can implement.

This episode gives listeners a clear roadmap for integrating cybersecurity considerations into AI supervision workflows.

Speaker: Carlos Antunes (Portugal National Cybersecurity Agency)
Interviewer: Yannic Duller, Project Consultant, Ethics of AI Unit, UNESCO

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Red teaming is rapidly becoming a critical component of AI oversight. In this episode, Rumman Chowdhury explains how structured adversarial testing can uncover system vulnerabilities, model failures, and misuse pathways.

The discussion focuses on practical red-teaming approaches that supervisory authorities can adopt, even with limited resources.

Speaker: Rumman Chowdhury (Human Intelligence)
Interviewer: Mirela Kmetic-Marceau, Project Consultant, Ethics of AI Unit, UNESCO

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A deep dive into the metrics and methodologies essential for robust AI evaluations. Agnès Delaborde examines measurement challenges, standards alignment, and the tools supervisory authorities need to assess AI system performance.

The conversation highlights gaps between emerging benchmarks and real-world regulatory needs.

Speaker: Agnès Delaborde (Laboratoire national de métrologie et d'essais – LNE)
Interviewer: Lihui Xu, Programme Specialist, Ethics of AI Unit, UNESCO

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