Predictive Bias Analysis
Predictive Bias Analysis is a methodological framework within fairness review that systematically evaluates whether a predictive model's outputs exhibit differential performance or error rates across socially salient groups, thereby identifying inequities arising from algorithmic decision-making.
98
Publications
5.5K
Citations
299
Authors
151
Institutions
Publications per year
2017–2026
52
Parents
98
Accurate brain age prediction with lightweight deep neural networks
Han Peng, Weikang Gong, Christian F. Beckmann et al. · Medical Image Analysis · 2020 · 519 citations · Full text
Geoff Pleiss, Manish Raghavan, Felix Wu et al. · arXiv (Cornell University) · 2017 · 290 citations · Full text
Predictive Inequity in Object Detection
Benjamin Wilson, Judy Hoffman, Jamie Morgenstern · arXiv (Cornell University) · 2019 · 157 citations · Full text
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University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
7 publications
347 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
8 publications
238 citations

University of Minnesota
Minneapolis, United States
3 h-index
3 publications
352 citations
Stanford University
Stanford, United States
3 h-index
6 publications
159 citations
Wellcome Centre for Integrative Neuroimaging
Oxford, United Kingdom
2 h-index
8 publications
2.2K citations
Federal Reserve
Washington D.C., United States
2 h-index
2 publications
27 citations
Oxford Research Group
London, United Kingdom
2 h-index
4 publications
1.1K citations
University of Pennsylvania
Philadelphia, United States
2 h-index
4 publications
260 citations
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Repository · 15 publications · 954 citations
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4 publications · 219 citations
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2 publications · 242 citations
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2 publications · 92 citations
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