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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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Moromoke Nimota Raji

Raji Steineck

Raji Ambikairajah

Alaleh Raji

Raji Ghawi

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ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles.I. Raji, and J. Yang. CoRR, (2019)Model Cards for Model Reporting.M. Mitchell, S. Wu, A. Zaldivar, P. Barnes, L. Vasserman, B. Hutchinson, E. Spitzer, I. Raji, and T. Gebru. FAT, page 220-229. ACM, (2019)Organizational Governance of Emerging Technologies: AI Adoption in Healthcare.J. Kim, W. Boag, F. Gulamali, A. Hasan, H. Hogg, M. Lifson, D. Mulligan, M. Patel, I. Raji, A. Sehgal and 6 other author(s). FAccT, page 1396-1417. ACM, (2023)Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products.I. Raji, and J. Buolamwini. AIES, page 429-435. ACM, (2019)Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem.S. Costanza-Chock, E. Harvey, I. Raji, M. Czernuszenko, and J. Buolamwini. CoRR, (2023)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)Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem.S. Costanza-Chock, I. Raji, and J. Buolamwini. FAccT, page 1571-1583. ACM, (2022)AI and the Everything in the Whole Wide World Benchmark.I. Raji, E. Denton, E. Bender, A. Hanna, and A. Paullada. NeurIPS Datasets and Benchmarks, (2021)Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance.I. Raji, P. Xu, C. Honigsberg, and D. Ho. AIES, page 557-571. ACM, (2022)From Algorithmic Audits to Actual Accountability: Overcoming Practical Roadblocks on the Path to Meaningful Audit Interventions for AI Governance.I. Raji. AIES, page 5. ACM, (2022)

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Disambiguation of "Raji, Inioluwa Deborah"

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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

Moromoke Nimota Raji

Raji Steineck

Raji Ambikairajah

Alaleh Raji

Raji Ghawi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Raji, Inioluwa Deborah"

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

Moromoke Nimota Raji

Raji Steineck

Raji Ambikairajah

Alaleh Raji

Raji Ghawi

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
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APA
Chicago
DIN 1505
Harvard
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Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing.