Michael Kearns: Algorithmic Fairness, Privacy & Ethics | Lex Fridman Podcast #50

ℹ️ EPISODE INFO

Released

November 19, 2019

Duration

1h 48m

Channel

Lex Fridman Podcast

Watch on YouTube

▶ Open ↗

🎤 SPEAKERS

• Lex Fridman

  host

• Michael Kearns

  guest

🧾 EPISODE SUMMARY

In this episode of Lex Fridman Podcast, featuring Lex Fridman and Michael Kearns, Michael Kearns: Algorithmic Fairness, Privacy & Ethics | Lex Fridman Podcast #50 explores designing Fair, Private Algorithms Without Letting Machines Define Morality Michael Kearns and Lex Fridman discuss how to formalize ethics—especially fairness and privacy—inside algorithms without asking machines to decide what is morally right. Kearns explains the technical progress and limits of algorithmic fairness, contrasting its messiness with the more mature framework of differential privacy. They explore trade‑offs between accuracy and fairness, individual versus group protections, and how social media and financial systems illustrate game‑theoretic dynamics. Throughout, Kearns stresses that society must define the norms; computer scientists should encode and expose trade‑offs, not quietly choose our values for us.

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