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Inioluwa Deborah Raji
Inioluwa Deborah Raji
Fellow, Mozilla Foundation
Verified email at mozillafoundation.org
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Cited by
Cited by
Year
Model cards for model reporting
M Mitchell, S Wu, A Zaldivar, P Barnes, L Vasserman, B Hutchinson, ...
Proceedings of the conference on fairness, accountability, and transparency …, 2019
9772019
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing
ID Raji, A Smart, RN White, M Mitchell, T Gebru, B Hutchinson, ...
Proceedings of the 2020 Conference on Fairness, Accountability and …, 2020
3542020
Actionable auditing: Investigating the impact of publicly naming biased performance results of commercial ai products
ID Raji, J Buolamwini
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 429-435, 2019
3432019
Data and its (dis) contents: A survey of dataset development and use in machine learning research
A Paullada, ID Raji, EM Bender, E Denton, A Hanna
Patterns 2 (11), 100336, 2021
2082021
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
ID Raji, T Gebru, M Mitchell, J Buolamwini, J Lee, E Denton
Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society, 145-151, 2020
1972020
AI Now 2019 Report
K Crawford, R Dobbe, T Dryer, G Fried, B Green, E Kaziunas, A Kak, ...
194*2019
AI and the Everything in the Whole Wide World Benchmark
ID Raji, EM Bender, A Paullada, E Denton, A Hanna
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
722021
You can't sit with us: exclusionary pedagogy in AI ethics education
ID Raji, MK Scheuerman, R Amironesei
Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021
412021
On the legal compatibility of fairness definitions
A Xiang, ID Raji
arXiv preprint arXiv:1912.00761, 2019
402019
About face: A survey of facial recognition evaluation
ID Raji, G Fried
arXiv preprint arXiv:2102.00813, 2021
382021
Are we learning yet? a meta review of evaluation failures across machine learning
T Liao, R Taori, ID Raji, L Schmidt
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
252021
About ml: Annotation and benchmarking on understanding and transparency of machine learning lifecycles
ID Raji, J Yang
arXiv preprint arXiv:1912.06166, 2019
242019
Participatory approaches to machine learning
B Kulynych, D Madras, S Milli, ID Raji, A Zhou, R Zemel
International Conference on Machine Learning Workshop, 2020
222020
The fallacy of AI functionality
ID Raji, IE Kumar, A Horowitz, A Selbst
2022 ACM Conference on Fairness, Accountability, and Transparency, 959-972, 2022
132022
Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem
S Costanza-Chock, ID Raji, J Buolamwini
2022 ACM Conference on Fairness, Accountability, and Transparency, 1571-1583, 2022
92022
AI Now Report 2019
K Crawford, R Dobbe, T Dryer, G Fried, B Green, E Kaziunas, A Kak, ...
New York: AI Now Institute, 2019
92019
The discomfort of death counts: mourning through the distorted lens of reported COVID-19 death data
ID Raji
Patterns 1 (4), 100066, 2020
72020
Fake AI
F Kaltheuner
Meatspace press, 2021
52021
AI now 2019 report
C Kate, R Dobbe, T Dryerand, G Fried, B Green, E Kaziunas, A Kak, ...
New York: AI Now Institute. ainowinstitute. org/AI_Now_2019_Report. html, 2019
52019
Outsider oversight: Designing a third party audit ecosystem for ai governance
ID Raji, P Xu, C Honigsberg, D Ho
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 557-571, 2022
42022
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