Ece Kamar
VP and Lab Director of AI Frontiers
关于
Ece Kamar is the Managing Director of AI Frontiers, leading research and development towards pushing the frontiers of AI capabilities. AI Frontiers is a non-geographical, mission-focused lab inside Microsoft Research that explores innovations in foundation models and platform capabilities to push the frontier of AI capabilities, efficiency and control.
Ece’s personal research focuses on developing AI systems that can function reliably in the open world in collaboration with people. She 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 is also an Affiliate Faculty with the University of Washington.
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Panel Discussion: AI Frontiers | Microsoft Research Forum
The sparks that we are seeing [are] really about having building blocks that give us the initial technologies … to get to those AI systems that have a memory, that have a history, that have a deep understanding of human concepts, and that can carry out tasks that are a lot broader, a lot more complex than what we can do today.
AI Frontiers: Models and Systems with Ece Kamar
The third episode of AI Frontiers features Ece Kamar, deputy lab director at Microsoft Research Redmond. Kamar draws on decades of experience in AI research and an opportunity she and Microsoft colleagues had to evaluate and experiment with GPT-4 prior to its release in discussing the capabilities and limitations of today’s large-scale models. She explores the short-term mitigation techniques she and her team are using to make these models viable components of the AI systems that give them purpose and shares the long-term research questions that will help maximize their value.
Life at the Intersection of AI and Society with Dr. Ece Kamar
Episode 9, January 24, 2018 | As the reality of artificial intelligence continues to capture our imagination, and critical AI systems enter our world at a rapid pace, Dr. Ece Kamar, a senior researcher in the Adaptive Systems and Interaction Group at Microsoft Research, is working to help us understand AI’s far-reaching implications, both as we use it, and as we build it. Today, Dr. Kamar talks about the complementarity between humans and machines, debunks some common misperceptions about AI, reveals how we can overcome bias and blind spots by putting humans in the AI loop, and argues convincingly that, despite everything machines can do (and they can do a lot), humans are still “the real deal.”
In pursuit of responsible AI: Bringing principles to practice webinar
The webinar will present examples of how these learnings are shaping our research on developing principles and tools for bringing the AI principle of reliability and safety to reality. In particular, it will showcase an ecosystem of open-source tools that are intended to accelerate the machine learning (ML) development life cycle by identifying and mitigating failures in a faster, systematic, and rigorous way.