Closing remarks: Responsible AI

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Microsoft Research
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Published on ● Video Link: https://www.youtube.com/watch?v=cf3jmY7Dym0


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Speaker: Ece Kamar, Partner Research Manager, Microsoft Research Redmond

As we’ve seen in countless media articles, AI systems can behave unfairly or unreliably. They can generate undesirable or harmful content, and they can reproduce or exacerbate existing social inequities. This track explores the complex societal implications of AI, machine learning, and natural language processing. Learn how Microsoft researchers are working on practices, processes, and technologies to advance responsible AI, often in collaboration with researchers and practitioners around the world.

Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit



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Tags:
fair AI systems
reliable AI systems
responsible AI
social inequities in AI
societal implications of AI
societal impact
machine learning
natural language processing
microsoft research summit