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About

Ece Kamar is a leading researcher at the intersection of artificial intelligence, human-computer interaction, and socio-technical systems. Her work fundamentally explores how intelligent machines behave in complex, real-world environments and how they can be designed to collaborate effectively with people. A key contribution is her role as a study author on the landmark **"Artificial Intelligence and Life in 2030"** report (over 150 citations), part of Stanford’s AI100 project, which provided a comprehensive, long-term assessment of AI’s societal impact. Kamar is also a pioneer in diagnosing and understanding AI system failures in the wild, as detailed in her work on "situated interaction failures." Her research extends to foundational problems in AI planning under uncertainty, such as the "Canadian Traveler Problem," where she developed novel approaches for path optimization with correlated, unknown costs. Additionally, she has contributed to the emerging field of **machine behaviour**, which frames the scientific study of algorithms as entities with observable behaviours. Through her work at Microsoft Research, Kamar continues to shape how we build, evaluate, and trust AI systems that operate alongside humans in the real world.