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Experts discuss bias, fairness, and ethics in machine learning algorithms

Michael Kearns, a professor at the University of Pennsylvania, discussed algorithmic fairness, bias, privacy, and ethics in a recent interview with Lex Fridman. The conversation focused on his book, "Ethical Algorithm," and explored various facets of machine learning and its societal implications. Topics covered included the trade-offs in algorithmic fairness, the ethical considerations of social networks, and the principles of differential privacy. AI

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RANK_REASON Podcast interview with a professor discussing ethical implications of algorithms and machine learning.

Read on Lex Fridman Podcast →

Experts discuss bias, fairness, and ethics in machine learning algorithms

COVERAGE [2]

  1. Hugging Face Blog TIER_1 ·

    Let's talk about biases in machine learning! Ethics and Society Newsletter #2

  2. Lex Fridman Podcast TIER_1 · Lex Fridman ·

    Michael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning

    <p>Michael Kearns is a professor at University of Pennsylvania and a co-author of the new book Ethical Algorithm that is the focus of much of our conversation, including algorithmic fairness, bias, privacy, and ethics in general. But, that is just one of many fields that Michael …