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Ece Kamar gives her talk, “Navigating the AI Horizon: Promises, Perils, and the Power of Collaboration” on December 10, 2025.

EECS Colloquium

Wednesday, December 10, 2025

306 Soda Hall (HP Auditorium)
4:00 – 5:00 pm

Ece Kamar

Distinguished Scientist, Corporate Vice President, and Managing Director of the AI Frontiers Lab at Microsoft Research

Bio

Ece Kamar is a Distinguished Scientist, Corporate Vice President, and the Managing Director of the AI Frontiers Lab at Microsoft Research. She leads research and development towards pushing the frontiers of AI capabilities. Releases from her lab include Phi family of models and libraries to empower agentic work, including AutoGen, MagenticOne and MagenticUI. Ece has a decade of experience studying the impact of AI on society and developing AI systems that are reliable, unbiased and trustworthy. She has been instrumental in building the Responsible AI efforts inside Microsoft. She serves as Technical Advisor for Microsoft’s Internal Committee on AI, Engineering and Ethics. Ece received a Bachelor of Science in Computer Engineering from Sabanci University in Istanbul. She completed her PhD at Harvard University, where she has worked with Prof. Barbara Grosz on human-AI collaboration. Ece is an Affiliate Faculty in the Department of Computer Science and Engineering at the University of Washington and is an Adjunct Faculty at Sabanci University. She was a member of the first study panel of Stanford’s AI100. She is currently serving on the National Academies’ Computer Science and Telecommunications Board (CSTB). She has been on the organizing committees of top AI and HCI conferences and received multiple best paper awards for her work.

Abstract

We stand at the dawn of the AI era, a technological revolution poised to be the most consequential of our generation, presenting both unprecedented opportunities and profound challenges. But this promise is shadowed by significant challenges. To build a future we want, we must move beyond the hype and the headlines to confront the most pressing open problems—technical, sociotechnical, and multidisciplinary. This talk will review the rapid progress, dissect challenges ahead, and argue that our greatest task isn’t simply building smarter machines, but fostering the human wisdom to guide them towards a future that is not only intelligent but also equitable, safe, and profoundly human.