Today we conclude our AWS re:Invent 2022 series joined by Michael Kearns, a professor in the department of computer and information science at UPenn, as well as an Amazon Scholar. In our conversation, we briefly explore Michael’s broader research interests in responsible AI and ML governance and his role at Amazon. We

Michael Kearns, a computer scientist professor at the University of Pennsylvania and an Amazon scholar talks about differential privacy, how Amazon's research approach differs from its peers, and how AI will eventually permeate all aspects of our lives. 

Michael Kearns is Professor and the National Center Chair in the Computer and Information Science department of the University of Pennsylvania, where he has secondary appointments in Economics and the Wharton School. He has published widely in machine learning, artificial intelligence, algorithmic game theory, and quan

We're revisiting a conversation on if, and how, an algorithm can be ethical. Algorithms have evolved into to powerful engines of financial technology. But they don’t always live up to the hype, as algorithmic models fail to take account of basic societal concerns like fairness, privacy and bias. Fintech Beat sits down

Algorithms have evolved into to powerful engines of financial technology. But they don’t always live up to the hype, as algorithmic models fail to take account of basic societal concerns like fairness, privacy and bias. Fintech Beat sits down with Michael Kearns to find out what can be done to make algorithms “ethical.

How can algorithms be made more "ethical"? How can we design AI to protect against racial and gender biases when it comes to loan applications or policing? UPenn's Professor Michael Kearns, co-author of "The Ethical Algorithm," and Geoff Shaefer, who works on AI issues at Booz Allen Hamilton, discuss these issues and m