Michael Kearns is a renowned computer scientist and professor at the University of Pennsylvania.
His research focuses on machine learning, algorithmic game theory, and the intersection of computer science and economics.
Kearns has made significant contributions to the field of ethical AI and privacy-preserving data analysis.
He has authored numerous publications and is recognized for his work on differential privacy and fairness in machine learning.
Michael Kearns co-authored "The Ethical Algorithm" with Aaron Roth, combining their expertise to provide insights into the challenges and potential solutions for designing ethical AI systems.
Kearns' background in both academic research and practical applications gives him a unique perspective on the complex issues surrounding algorithmic ethics and decision-making.
Compare Features | Free | Pro |
---|---|---|
Read full text summaries
Summaries are free to read for everyone
|
||
Listen to summaries
12,000+ hours of audio
|
— | |
Unlimited Bookmarks
Free users are limited to 10
|
— | |
Unlimited History
Free users are limited to 10
|
— |