Birhane, Abeba
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2

The Dark Side of Dataset Scaling: Evaluating Racial Classif..:

, In: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency,
Birhane, Abeba ; Dehdashtian, Sepehr ; Prabhu, Vinay. - p. 1229-1244 , 2024
 
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4

AI auditing: The Broken Bus on the Road to AI Accountabilit:

, In: 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML),
Birhane, Abeba ; Steed, Ryan ; Ojewale, Victor.. - p. 612-643 , 2024
 
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10

How AI can distort human beliefs:

Kidd, Celeste ; Birhane, Abeba
Science.  380 (2023)  6651 - p. 1222-1223 , 2023
 
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11

Algorithmic Colonization of Africa:

, In: Imagining AI,
Birhane, Abeba - p. 247-260 , 2023
 
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12

The Values Encoded in Machine Learning Research:

, In: 2022 ACM Conference on Fairness, Accountability, and Transparency,
Birhane, Abeba ; Kalluri, Pratyusha ; Card, Dallas... - p. 173-184 , 2022
 
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13

The unseen Black faces of AI algorithms:

Birhane, Abeba
Nature.  610 (2022)  7932 - p. 451-452 , 2022
 
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14

Auditing saliency cropping algorithms:

, In: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),
Birhane, Abeba ; Prabhu, Vinay Uday ; Whaley, John - p. 1515-1523 , 2022
 
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15

The Limits of Fairness:

, In: Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society,
Birhane, Abeba - p. 2 ff. , 2022
 
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