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  4. A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle

A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle

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sword-2022-06-29T15:06:38.original.xml (130 B)
Original SWORD entry document
Author(s)
Suresh, Harini
•
Guttag, John
Date Issued
2021
Journal
Equity and Access in Algorithms, Mechanisms, and Optimization
Publisher
ACM
Citation
Suresh, Harini and Guttag, John. 2021. "A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle." Equity and Access in Algorithms, Mechanisms, and Optimization.
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution NonCommercial License 4.0
https://creativecommons.org/licenses/by-nc/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/143588
DOI of Published Version
https://doi.org/10.1145/3465416.3483305
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