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Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing.

I. Raji, A. Smart, R. White, M. Mitchell, T. Gebru, B. Hutchinson, J. Smith-Loud, D. Theron, and P. Barnes. FAT*, page 33-44. ACM, (2020)

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Margaret Mitchell

Margaret Mary Mitchell

Daniell Mitchell

Gail Mitchell

Brian Mitchell

Other publications of authors with the same name

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure.B. Hutchinson, A. Smart, A. Hanna, E. Denton, C. Greer, O. Kjartansson, P. Barnes, and M. Mitchell. FAccT, page 560-575. ACM, (2021)50 Years of Test (Un)fairness: Lessons for Machine Learning.B. Hutchinson, and M. Mitchell. FAT, page 49-58. ACM, (2019)The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset.H. Laurençon, L. Saulnier, T. Wang, C. Akiki, A. del Moral, T. Scao, L. von Werra, C. Mou, E. Ponferrada, H. Nguyen and 44 other author(s). NeurIPS, (2022)Measuring Data.M. Mitchell, A. Luccioni, N. Lambert, M. Gerchick, A. McMillan-Major, E. Ozoani, N. Rajani, T. Thrush, Y. Jernite, and D. Kiela. CoRR, (2022)Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned.S. Bird, B. Hutchinson, K. Kenthapadi, E. Kiciman, and M. Mitchell. KDD, page 3205-3206. ACM, (2019)Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus.J. Dodge, M. Sap, A. Marasovic, W. Agnew, G. Ilharco, D. Groeneveld, M. Mitchell, and M. Gardner. EMNLP (1), page 1286-1305. Association for Computational Linguistics, (2021)Data Governance in the Age of Large-Scale Data-Driven Language Technology.Y. Jernite, H. Nguyen, S. Biderman, A. Rogers, M. Masoud, V. Danchev, S. Tan, A. Luccioni, N. Subramani, I. Johnson and 10 other author(s). FAccT, page 2206-2222. ACM, (2022)The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset.H. Laurençon, L. Saulnier, T. Wang, C. Akiki, A. del Moral, T. Scao, L. von Werra, C. Mou, E. Ponferrada, H. Nguyen and 44 other author(s). CoRR, (2023)Memory-augmented Attention Modelling for Videos.R. Fakoor, A. rahman Mohamed, M. Mitchell, S. Kang, and P. Kohli. CoRR, (2016)50 Years of Test (Un)fairness: Lessons for Machine Learning.B. Hutchinson, and M. Mitchell. CoRR, (2018)

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Disambiguation of "Mitchell, Margaret"

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Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing.

Please choose a person to relate this publication to

Margaret Mitchell

Margaret Mary Mitchell

Daniell Mitchell

Gail Mitchell

Brian Mitchell

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mitchell, Margaret"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing.

Please choose a person to relate this publication to

Margaret Mitchell

Margaret Mary Mitchell

Daniell Mitchell

Gail Mitchell

Brian Mitchell

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing.