Supervision cannot succeed without structured engagement with developers, deployers, and industry partners. In this episode, Huub Jannsen discusses best practices for market dialogue, transparency expectations, and collaborative mechanisms that support compliance while fostering innovation.

The episode highlights how oversight bodies can build trust and shared responsibility across the AI ecosystem.

Speaker: Huub Jannsen (RDI)
Interviewer: Dafna Feinholz, Director of the Division a.i. & Chief of Section for Bioethics and Ethics of Science and Technology, UNESCO.

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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

Hosted on Ausha. See ausha.co/privacy-policy for more information.