How should we navigate fairness, disagreement, and ethical decision-making in an AI-driven world?

This breakout session from IASEAI '26 explores how AI systems intersect with human values in contexts ranging from recommendation systems and behavioral policy design to global governance, conflict, and the future of advanced AI.

Across two segments, researchers and practitioners examine questions of uncertainty, fairness, expert disagreement, and the ethical implications of deploying AI in high-stakes domains—including mental health, law, and international security.

Chandan Kumar Sah — Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems
Kevin Feng — Expert-Driven Prototyping of LLM Behavioral Policies: Case Studies in Mental Health and Law
Athina Georgara — FairPlay+: A Certified-Fair Hotel Room Recommendations Framework
Alex Amadori — The Three Main Doctrines on the Future of AI
Noah Schöpp — Discourse Coalitions in AI Governance: The Shift from Caution to Acceleration
Mark Hagerott — Safe and Ethical AI-Guided Weapons: A Framework and Proposals
Alex Walsh — “Justice AI” in Fragile and Conflict-Affected States
Kenneth Cukier — AI + Weapons = PeaceTech… Really?

📍 Recorded at UNESCO Headquarters, Paris

The International Association for Safe and Ethical AI (IASEAI) is a global professional association bringing together researchers, policymakers, and practitioners working to ensure that advanced AI systems operate safely and ethically for the benefit of humanity.

Learn more: https://www.iaseai.org

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