We are delighted to welcome David Danks as a keynote speaker at AIces 2026 (Porto–Maia, Portugal | March 30 – April 2, 2026).
In his keynote, “Trustworthy AI in an Untrustworthy World,” Danks addresses a central tension in today’s AI discourse: while we increasingly call for AI that is trustworthy, responsible, ethical, or safe, much of the work in these areas assumes that AI is designed and deployed in a largely cooperative environment. But real-world settings are often the opposite—partially competitive, strategically misaligned, and shaped by conflicting goals and incentives.
This talk will explore what it actually means to build “trustworthy AI” when the surrounding world may be hostile to our values and interests, and will offer practical approaches for producing better AI systems under adversarial or high-conflict conditions.
About the keynote speaker
David Danks is Professor of Data Science, Philosophy, & Policy at the University of California, San Diego. Starting January 2026, he will be the Polk JSF Distinguished University Professor of Philosophy, AI, & Data Science at the University of Virginia. His research spans philosophy, cognitive science, and machine learning, including their intersection.
Danks has examined ethical, psychological, and policy issues around AI and robotics across sectors such as transportation, healthcare, privacy, and security. He has also contributed significantly to computational cognitive science and developed novel causal discovery algorithms for complex observational and experimental data. His honors include a James S. McDonnell Foundation Scholar Award and an Andrew Carnegie Fellowship. He was an inaugural member of the National AI Advisory Committee (USA), and currently serves on advisory boards across industry, government, and academia.
Register for AIces 2026: https://aices.irdta.eu/2026/registration/
Event details: https://aices.irdta.eu/2026/
