UNESCO’s Hands-On AI Supervision

Red Teaming as a Supervisory Tool: Stress-Testing AI Systems

27min | 02/24/2026

Description

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.

About UNESCO’s Hands-On AI Supervision

UNESCO’s Hands-On AI Supervision: Lessons from Practice is a six-episode mini podcast series showcasing concrete lessons from the 2nd Expert Roundtable on AI Supervision, convened by UNESCO. Each episode distils insights from hands-on exercises with leading experts on AI risk mapping, evaluations, red teaming, benchmarking, cybersecurity, and engagement with market actors. Designed for regulators, policymakers, and practitioners, the series explores practical methodologies, emerging challenges, and the institutional capacities needed for effective AI oversight. Through focused conversations with specialists, the series provides accessible, actionable knowledge to strengthen technical readiness and foster ongoing dialogue across the global AI supervision community.

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

About UNESCO’s Hands-On AI Supervision

UNESCO’s Hands-On AI Supervision: Lessons from Practice is a six-episode mini podcast series showcasing concrete lessons from the 2nd Expert Roundtable on AI Supervision, convened by UNESCO. Each episode distils insights from hands-on exercises with leading experts on AI risk mapping, evaluations, red teaming, benchmarking, cybersecurity, and engagement with market actors. Designed for regulators, policymakers, and practitioners, the series explores practical methodologies, emerging challenges, and the institutional capacities needed for effective AI oversight. Through focused conversations with specialists, the series provides accessible, actionable knowledge to strengthen technical readiness and foster ongoing dialogue across the global AI supervision community.

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

Description

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.

About UNESCO’s Hands-On AI Supervision

UNESCO’s Hands-On AI Supervision: Lessons from Practice is a six-episode mini podcast series showcasing concrete lessons from the 2nd Expert Roundtable on AI Supervision, convened by UNESCO. Each episode distils insights from hands-on exercises with leading experts on AI risk mapping, evaluations, red teaming, benchmarking, cybersecurity, and engagement with market actors. Designed for regulators, policymakers, and practitioners, the series explores practical methodologies, emerging challenges, and the institutional capacities needed for effective AI oversight. Through focused conversations with specialists, the series provides accessible, actionable knowledge to strengthen technical readiness and foster ongoing dialogue across the global AI supervision community.

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

About UNESCO’s Hands-On AI Supervision

UNESCO’s Hands-On AI Supervision: Lessons from Practice is a six-episode mini podcast series showcasing concrete lessons from the 2nd Expert Roundtable on AI Supervision, convened by UNESCO. Each episode distils insights from hands-on exercises with leading experts on AI risk mapping, evaluations, red teaming, benchmarking, cybersecurity, and engagement with market actors. Designed for regulators, policymakers, and practitioners, the series explores practical methodologies, emerging challenges, and the institutional capacities needed for effective AI oversight. Through focused conversations with specialists, the series provides accessible, actionable knowledge to strengthen technical readiness and foster ongoing dialogue across the global AI supervision community.

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

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