Gender shades: Intersectional accuracy disparities in commercial gender classification J Buolamwini, T Gebru Conference on fairness, accountability and transparency, 77-91, 2018 | 5742 | 2018 |
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 | 545 | 2019 |
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 | 331 | 2020 |
Gender shades: intersectional phenotypic and demographic evaluation of face datasets and gender classifiers JA Buolamwini Massachusetts Institute of Technology, 2017 | 163 | 2017 |
How I’m fighting bias in algorithms J Buolamwini November, TEDx Beacon Street)[Video File], 2016 | 101 | 2016 |
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 | 93 | 2022 |
When the robot doesn’t see dark skin J Buolamwini The New York Times 21, 2018, 2018 | 56 | 2018 |
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 | 53 | 2018 |
Artificial intelligence has a problem with gender and racial bias. Here’s how to solve it J Buolamwini Time Magazine, 2019 | 33 | 2019 |
The algorithmic justice league J Buolamwini Medium (December, 2016),< https://medium. com/mit-media-lab/the-algorithmic …, 2016 | 32 | 2016 |
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 | 20 | 2022 |
Unmasking AI: my mission to protect what is human in a world of machines J Buolamwini (No Title), 2023 | 19 | 2023 |
Gender shades J Buolamwini, T Gebru Proceedings of the First Conference on Fairness, Accountability and …, 2022 | 18 | 2022 |
Proceedings of Machine Learning Research J Buolamwini, T Gebru Conference on Fairness, Accountability and Transparency 81, 77-91, 2018 | 13 | 2018 |
InCoding–in the beginning was the coded gaze J Buolamwini produced for MIT Media Lab.,[Online], available: https://medium. com/mit …, 2016 | 12 | 2016 |
Facing the Coded Gaze with Evocative Audits and Algorithmic Audits J Buolamwini Massachusetts Institute of Technology, 2022 | 10 | 2022 |
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 | 9 | 2019 |
InCoding—In the Beginning J Buolamwini MIT Media Lab,< https://medium. com/mit-media-lab, 2016 | 9 | 2016 |
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 | 6 | 2023 |
How I’m fighting Bias in Algorithms.(2016) J Buolamwini | 6 | 2016 |