Technical–institutional AI accountability | IASEAI '26

How can AI accountability be made real across legal, institutional, and technical systems? This breakout session from IASEAI 2026 explores a wide range of accountability mechanisms for AI — from legal foreseeability and insurability to auditing, human rights assessments, international standards, and democratic governance. Across two segments, speakers examine how accountability can be operationalized in practice, highlighting the role of public institutions, regulatory frameworks, civil society, and technical evaluation tools in shaping safer and more trustworthy AI systems. Sunayana Rane — On the Foreseeability of AI Harms Florence G’sell — Rethinking AI Liability through the Lens of Insurability Jane Castleman — Measuring Validity in LLM-based Resume Screening Ha-Chi Tran — Brokerage in the Black Box: Swing States, Strategic Ambiguity, and the Global Politics of AI Governance Éloïse Gabadou — Deliberative democratic decision-making for AI Karl Koch & Abra Ganz — The Global AI Whistleblowing Landscape Mackenzie Jorgensen — Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool Susie Lindsay — Human Rights AI Impact Assessment (HRIA): a tool to assess and mitigate AI-driven discrimination Zoltan Turbek — Socio-Technical Governance of AI through International Standards 📍 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 #AIGovernance #AIpolicy #IASEAI #ArtificialIntelligence #ResponsibleAI