Quick Summary: Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Fireside Chat with Michael Fireside Chat with Eric Horvitz, director of Microsoft Research Labs, and

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Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. So is there hope for any kind of privacy in a world where a few likes can can identify you so there is

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Companies are collecting more and more data about us and that can cause harm. Fireside Chat with Michael Fireside Chat with Eric Horvitz, director of Microsoft Research Labs, and

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  • Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life.
  • So is there hope for any kind of privacy in a world where a few likes can can identify you so there is
  • Companies are collecting more and more data about us and that can cause harm.
  • Fireside Chat with Michael Fireside Chat with Eric Horvitz, director of Microsoft Research Labs, and

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Michael Kearns: Differential Privacy

Michael Kearns: Differential Privacy

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

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

So is there hope for any kind of privacy in a world where a few likes can can identify you so there is

Michael Kearns: Designing an “Ethical Algorithm”

Michael Kearns: Designing an “Ethical Algorithm”

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Michael Kearns on Privacy

Michael Kearns on Privacy

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Michael Kearns: “Fairness” in Machine Learning

Michael Kearns: “Fairness” in Machine Learning

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Michael Kearns: The Ethical Algorithm

Michael Kearns: The Ethical Algorithm

Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life.

Differential Privacy - Simply Explained

Differential Privacy - Simply Explained

Companies are collecting more and more data about us and that can cause harm. With

Tutorial: Differential Privacy and Learning: The Tools, The Results, and The Frontier

Tutorial: Differential Privacy and Learning: The Tools, The Results, and The Frontier

When is working with private data safe, and when is it risky? Are the risks inherent to the computation? Widespread availability of ...

Michael Kearns: Nanotechnology, the Tech Giants, & Regulation

Michael Kearns: Nanotechnology, the Tech Giants, & Regulation

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Fireside Chat with Michael Kearns

Fireside Chat with Michael Kearns

Fireside Chat with Michael Fireside Chat with Eric Horvitz, director of Microsoft Research Labs, and