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Joy Buolamwini
Joy Buolamwini
MIT Media Lab
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Title
Cited by
Cited by
Year
Gender shades: Intersectional accuracy disparities in commercial gender classification
J Buolamwini, T Gebru
Conference on fairness, accountability and transparency, 77-91, 2018
57422018
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
5452019
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 AAAI/ACM Conference on AI, Ethics, and Society, 145-151, 2020
3312020
Gender shades: intersectional phenotypic and demographic evaluation of face datasets and gender classifiers
JA Buolamwini
Massachusetts Institute of Technology, 2017
1632017
How I’m fighting bias in algorithms
J Buolamwini
November, TEDx Beacon Street)[Video File], 2016
1012016
Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem
S Costanza-Chock, ID Raji, J Buolamwini
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
932022
When the robot doesn’t see dark skin
J Buolamwini
The New York Times 21, 2018, 2018
562018
Proceedings of the 1st Conference on Fairness, Accountability and Transparency
J Buolamwini, T Gebru, SA Friedler, C Wilson
Proceedings of Machine Learning Research 81, 77-91, 2018
532018
Artificial intelligence has a problem with gender and racial bias. Here’s how to solve it
J Buolamwini
Time Magazine, 2019
332019
The algorithmic justice league
J Buolamwini
Medium (December, 2016),< https://medium. com/mit-media-lab/the-algorithmic …, 2016
322016
Actionable auditing revisited: Investigating the impact of publicly naming biased performance results of commercial ai products
ID Raji, J Buolamwini
Communications of the ACM 66 (1), 101-108, 2022
202022
Unmasking AI: my mission to protect what is human in a world of machines
J Buolamwini
(No Title), 2023
192023
Gender shades
J Buolamwini, T Gebru
Proceedings of the First Conference on Fairness, Accountability and …, 2022
182022
Proceedings of Machine Learning Research
J Buolamwini, T Gebru
Conference on Fairness, Accountability and Transparency 81, 77-91, 2018
132018
InCoding–in the beginning was the coded gaze
J Buolamwini
produced for MIT Media Lab.,[Online], available: https://medium. com/mit …, 2016
122016
Facing the Coded Gaze with Evocative Audits and Algorithmic Audits
J Buolamwini
Massachusetts Institute of Technology, 2022
102022
Actionable auditing: investigating the impact of publicly naming biased performance results of commercial AI products
J Buolamwini, ID Raji
Conference on Artificial Intelligence, Ethics, and Society, 2019
92019
InCoding—In the Beginning
J Buolamwini
MIT Media Lab,< https://medium. com/mit-media-lab, 2016
92016
Change from the outside: Towards credible third-party audits of ai systems
ID Raji, SC Chock, J Buolamwini
Missing links in AI governance, 5, 2023
62023
How I’m fighting Bias in Algorithms.(2016)
J Buolamwini
62016
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