AI ethics in the face of human conflict and deliberation | IASEAI '26

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 #AI #AISafety #EthicalAI #AIGovernance #IASEAI #ArtificialIntelligence #ResponsibleAI