Panel: The future of human-AI collaboration

Channel:
Microsoft Research
Subscribers:
351,000
Published on ● Video Link: https://www.youtube.com/watch?v=F0A_n4fr87c


Duration: 40:40
513 views
15

Speakers:
Aaron Halfaker, Principal Applied Research Scientist, Microsoft Experiences and Devices
Charles Isbell, John P. Imlay Jr. Dean of Computing, Georgia Institute of Technology
Jaime Teevan, Chief Scientist, Microsoft
Qian Yang, Assistant Professor, Cornell University

The increase in productivity resulting from artificial intelligence (AI) has been revolutionary, but there is a risk of developing AI systems incorrectly. We have spent considerable energy expanding the capabilities of intelligent systems and less time considering what types of intelligent systems we should be building and how to partner with users to evolve them. Join us to hear this panel discuss how to provide people with agency where and when they need it. We cover how to co-evolve machine learning (ML) and product design to obtain data and improve productivity; ways to do this fairly and responsibly; and the opportunities and roles this unlocks for workers in the future.

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