PitchCentric
UNESCO’s Hands-On AI Supervision
Updated 11 days ago · Refreshed hourly
sciencesocial

UNESCO’s Hands-On AI Supervision

Hosted by UNESCO · 🇺🇸 US · EN · 6 episodes

Where this show ranks

Episodes
6
Last ep.
11 days ago
Avg length
32m
Booking Probability™
27
Stretch.
Sign in to score against your profile.
Estimated audience
,
Audience size not yet estimated
Listen Score
12
Niche reach.
Virality (30d)
45
Steady cadence.

Pitch Analysis

Sign in to see how your Guest Score compares to this show's Required Pod Score and get a Stretch / Match-fit / Anchor verdict.
Required Pod Score
80/ 100
Premium

Established thought leaders with verified media credentials.

Contact path
Verified email on file
Unlock verified contacts
Guest openness
Not signalled recently
Best topics to pitch
sciencesocial

About this podcast

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.

sciencesocial

About the host

UNESCO hosts UNESCO’s Hands-On AI Supervision, a science show with 6 episodes published.

Verified host email:████████@████.comSign in to unlock →

Recent episodes

Our AI reads these to draft pitches

Dialogue with Market Actors: Cooperation for Better AI Oversight

Mar 10, 202627m0

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 colla

Show notes

Cybersecurity for AI Supervision: Protecting Systems, Data, and Institutions

Mar 3, 202633m0

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 ca

Show notes

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

Feb 24, 202627m0

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.

Show notes

Evaluating AI Systems: Metrics, Methods, and Measurement Gaps

Feb 17, 202633m0

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 per

Show notes

Mapping AI Risks: From Principles to Practice

Feb 10, 202636m0

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 considerations, and r

Show notes

AI Safety & Benchmarking: Building Trustworthy Evaluation Ecosystems

Feb 1, 202634m0

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 evaluations. The convers

Show notes

Sponsors and advertisers

Sponsor detection runs nightly. Check back soon.

Audience demographics

Age
25-54
Consumer type
Lifelong learners

Topics covered

sciencesocial

Successful pitch examples

No public pitch examples yet for this show.

Generate your own personalised pitch

If you're pitching UNESCO’s Hands-On AI Supervision, also consider

Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.

Frequently asked questions

How do I pitch UNESCO’s Hands-On AI Supervision as a podcast guest?

UNESCO’s Hands-On AI Supervision has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their science audience.

Who is the host of UNESCO’s Hands-On AI Supervision?

UNESCO’s Hands-On AI Supervision is hosted by UNESCO. The show is categorised under science (social) and has published 6 episodes.

How many episodes does UNESCO’s Hands-On AI Supervision have?

UNESCO’s Hands-On AI Supervision has published 6 episodes.

What topics does UNESCO’s Hands-On AI Supervision cover?

UNESCO’s Hands-On AI Supervision regularly covers science, social. It sits in the science category, with a social focus.

Is it hard to get booked on UNESCO’s Hands-On AI Supervision?

UNESCO’s Hands-On AI Supervision is accessible for guests with genuine science expertise. A personalised, episode-aware pitch will still outperform a generic one every time.

Is UNESCO’s Hands-On AI Supervision currently accepting guest pitches?

UNESCO’s Hands-On AI Supervision hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.

How long are UNESCO’s Hands-On AI Supervision episodes?

Episodes of UNESCO’s Hands-On AI Supervision average 32 minutes. a focused format where a clear narrative arc and tight preparation matter most.

What guest credentials does UNESCO’s Hands-On AI Supervision typically look for?

Our data rates UNESCO’s Hands-On AI Supervision's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.

Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 11 days ago.

Is this podcast yours and you'd like to remove or correct details? Request removal or email privacy@pitchcentric.com.