Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency


Conference paper


Ariful Islam Anik, Andrea Bunt
CHI '21, Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, New York, NY, USA, 2021


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APA
Anik, A. I., & Bunt, A. (2021). Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. New York, NY, USA: Association for Computing Machinery.

Chicago/Turabian
Anik, Ariful Islam, and Andrea Bunt. “Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency.” In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. CHI '21. New York, NY, USA: Association for Computing Machinery, 2021.

MLA
Anik, Ariful Islam, and Andrea Bunt. “Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency.” Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, 2021.



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