Virtual HLF 2020 – Talk: Jon Kleinberg and Dialogue: Jon Kleinberg/Yoshua Bengio

Title:
Analyzing Bias in Machine-Learning Algorithms

Abstract:
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.
Challenges offer opportunities to adapt and 2020 has provided several significant tests. The Virtual HLF is a direct response to some of this year’s trials. Branded with the motto "Virtual HLF –Traversing Separation," the Forum will take place from Monday, September 21 until Friday, September 25, 2020. A multifaceted scientific program is supplemented by various interactive elements designed to facilitate exchange between the participants. Additionally, there are various satellite events available.
For an overview of the entire program, please visit:
https://www.heidelberg-laureate-forum.org/forum/virtual-hlf-2020/program.html

The opinions expressed in the videos do not necessarily reflect the views of the Heidelberg Laureate Forum Foundation or any other person or associated institution involved in the making and distribution of the videos.

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Видео Virtual HLF 2020 – Talk: Jon Kleinberg and Dialogue: Jon Kleinberg/Yoshua Bengio канала Heidelberg Laureate Forum