Cross-group Calibration
Cross-Group Calibration is a fairness evaluation metric that ensures the predicted probabilities of an outcome are equally reliable across different demographic or protected groups, thereby enabling equitable interpretation of model outputs irrespective of group membership.
3
Publications
224
Citations
7
Authors
5
Institutions
Publications per year
2017–2026
2
Parents
3
Marianna Szabó, Peter F. Lovibond · Frontiers in Psychology · 2022 · 118 citations · Full text
Paul A. McDermott, Samuel H. Rikoon, John W. Fantuzzo · Journal of Educational Psychology · 2013 · 84 citations
Education, Educational Assessment, Educational Psychology +14
1–3 of 3
7
International Computer Science Institute, United States
1 publications · 22 citations
1
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1
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1
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1
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1
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1–5 of 7
5
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
22 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
3 publications
252 citations

The University of Sydney
Sydney, Australia
1 h-index
1 publications
118 citations

UNSW Sydney
Sydney, Australia
1 h-index
1 publications
118 citations

International Computer Science Institute
Berkeley, United States
1 h-index
1 publications
22 citations
1–5 of 5
1 publications · 84 citations
1
h-index
1 publications · 118 citations
1
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1–2