Bridging Computer Science
Michael emphasizes the growing need for computer scientists to engage with broader societal issues, highlighting the increasing sophistication of the general public regarding technology. He discusses the potential future where computer science becomes integrated across various disciplines, likening it to the ubiquity of electricity. The conversation also delves into algorithmic privacy, critiquing current practices like data anonymization as fundamentally flawed, while advocating for a deeper understanding of ethical algorithms.In this clip
From this podcast

Lex Fridman Podcast
Michael Kearns: Algorithmic Fairness, Privacy & Ethics | Lex Fridman Podcast #50
Related Questions
Are algorithms truly unbiased as discussed in the episode Michael Kearns: Algorithmic Fairness, Privacy & Ethics | Lex Fridman Podcast #50 and the clip Algorithmic Fairness Dilemmas?
Are algorithms truly unbiased as discussed in the episode Michael Kearns: Algorithmic Fairness, Privacy & Ethics | Lex Fridman Podcast #50 and the clip Algorithmic Fairness Dilemmas?