Education, Resilience, and Responsible AI

10:00 – 10:20
Epitech – Laura Hassan & Gildas

AI in the Age of Education – Insights from qualitative research (reversed learning strategies) and quantitative findings (what the new generation values at work, expects from future managers, and how they critically perceive AI).
👉 Sets the stage by bringing in the voice of the next generation and education.

10:20 – 10:40
Democratic Resilience Center – Alissa Chmiel
Cognitive Resilience and Democracy in the Age of AI – How societies can resist manipulation and maintain democratic values.
👉 Links human factors from education to broader societal resilience.

10:40 – 11:00
German Federal Office – Nicole Manger
AI Governance and Public Interest AI – Concrete examples from Germany on balancing innovation with the public good.
👉 Bridges the conversation from resilience to governance structures and real-world policies.

☕ 11:00 – 11:15
Virtual Coffee Break

11:15 – 11:35
Open Ethics – Alice Pavaloiu
The Importance of Transparency for AI Models – Introduction to the Open Ethics labeling platform, helping developers prove model transparency.
👉 Brings in practical tools and frameworks for responsible AI, right after governance.

11:35 – 11:55
Numalis - Arnault Ioualalen
Robustness of AI Models – with case studies including Saimple (integrated into IBM WatsonX).
👉 Moves from transparency to robustness — core scientific assurances of AI quality.

11:55 – 12:15
Vector Institute /MIT – Himanshu Joshi
AI Adoption and Risks at Scale – A strategic perspective on adoption, risks, and an introduction to Res.AI.
👉 Closes with the big-picture risks and opportunities of AI at scale, tying all previous talks into global adoption.

12:15 – 12:30
Q&A / Wrap-up – Interactive discussion with all speakers to synthesize the journey: education → democracy → governance → transparency → robustness → adoption.