Panel: Challenges and opportunities of causality

Channel:
Microsoft Research
Subscribers:
345,000
Published on ● Video Link: https://www.youtube.com/watch?v=B4mK8ERsCIM


Duration: 46:24
1,379 views
66

Moderator:
Eric Horvitz, Chief Scientific Officer, Microsoft
Speakers:
Yoshua Bengio, Scientific Director / Full Professor, Université de Montréal
Susan Athey, Professor, Stanford University
Judea Pearl, Professor, UCLA

What is causal machine learning? Is it the same as causality research? What are the recent advances and future opportunities? This panel is a unique session where you can hear world-leading researchers' thoughts on causal machine learning in economics, computer science, statistics, and healthcare. Microsoft Chief Scientific Officer Eric Horvitz will discuss the advances and impact of causal machine learning with four esteemed professors in causal machine learning with different backgrounds. You will hear their thought on why we need causal machine learning now, how causal machine learning can make a real-world impact, and the future of causal machine learning.

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



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Tags:
Causal Machine Learning
human-like machine intelligence
computer science
causal machine learning technologies
microsoft research summit