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Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning

Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning

8 May 2025
Jarren Briscoe
Assefaw Gebremedhin
    FaML
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Papers citing "Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning"

1 / 1 papers shown
Title
Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics
Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics
Jarren Briscoe
Garrett Kepler
Daryl Deford
Assefaw Gebremedhin
31
0
0
06 May 2025
1