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Virtual HLF 2020 – Talk: Jon Kleinberg - Analyzing Bias in Machine-Learning Algorithms + Dialogue: Jon Kleinberg and Yoshua Bengio

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Virtual HLF 2020 – Talk: Jon Kleinberg - Analyzing Bias in Machine-Learning Algorithms + Dialogue: Jon Kleinberg and Yoshua Bengio
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19
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No Open Access License:
German copyright law applies. This film may be used for your own use but it may not be distributed via the internet or passed on to external parties.
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Recent discussion in the public sphere has explored some of the way in which prediction algorithms trained on data might exhibit bias in their decision-making. This discussion, drawing on input from a wide range of communities, has involved a number of crucial trade-offs that can be formulated in precise terms. We will survey some of these trade-offs, including tensions between the simplicity of a classification rule and its equity guarantees, and tensions between competing definitions of what it means for a prediction algorithm to be fair to different groups. The talk will be based on joint work with Jens Ludwig, Sendhil Mullainathan, Manish Raghavan, and Cass Sunstein.