The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations
Name
3531146.3533179.pdf
Size
1.1 MB
Format
Adobe PDF
Checksum (MD5)
7f982b39eb0de41923a0f91a984a7dbd
Author(s)
Balagopalan, Aparna
Zhang, Haoran
Hamidieh, Kimia
Hartvigsen, Thomas
Rudzicz, Frank
Ghassemi, Marzyeh
Date Issued
June 21, 2022
Publisher
ACM|2022 ACM Conference on Fairness, Accountability, and Transparency
Citation
Balagopalan, Aparna, Zhang, Haoran, Hamidieh, Kimia, Hartvigsen, Thomas, Rudzicz, Frank et al. 2022. "The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations."
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 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3531146.3533179
