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Recent Episodes
Dialogue with Market Actors: Cooperation for Better AI Oversight
Supervision cannot succeed without structured engagement with developers, deployers, and industry partners. In this episode, Huub Jannsen discusses best practices for market dialogue, transparency…
Cybersecurity for AI Supervision: Protecting Systems, Data, and Institutions
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…
Red Teaming as a Supervisory Tool: Stress-Testing AI Systems
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,…
Evaluating AI Systems: Metrics, Methods, and Measurement Gaps
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…
Mapping AI Risks: From Principles to Practice
This episode explores how supervisory authorities can translate high-level AI risk principles into practical, operational risk-mapping processes. Nathalie Cohen discusses evaluation frameworks, data…
AI Safety & Benchmarking: Building Trustworthy Evaluation Ecosystems
Effective AI supervision requires reliable benchmarking ecosystems. Nicholas Miailhe discusses why benchmarks matter, how they should be constructed, and what regulators need to know about safety…
Frequently Asked Questions
UNESCO’s Hands-On AI Supervision has published 6 episodes since February 2026, covering topics in Science, Social Sciences.
UNESCO’s Hands-On AI Supervision is currently sporadic with new episodes weekly. Average episode length is 32m.
Sign up on Grep.FM to access contact details for UNESCO’s Hands-On AI Supervision, including email and social media links.
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