· 2015
Certifying and Removing Disparate Impact
- 1,799citations
- 2015year
Short summary
This paper defines disparate impact in algorithms as a legal concept where a seemingly neutral selection process yields widely different outcomes for different protected groups.
AI-generated from the title and abstract; the full text is not read.
Key points
- Disparate impact occurs when a neutral selection process has widely different outcomes for different groups.
- A protected class (e.g., ethnicity, gender) must be defined.
- An explicit description of the selection process is required for legal determination.
AI-generated from the title and abstract; the full text is not read.
Abstract
What does it mean for an algorithm to be biased? In U.S. law, unintentional bias is encoded via disparate impact, which occurs when a selection process has widely different outcomes for different groups, even as it appears to be neutral. This legal determination hinges on a definition of a protected class (ethnicity, gender) and an explicit description of the process.
The authors' abstract, as published at the source., 2015 · DOI ↗
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Field: Safety Research
Safety ResearchSocial Sciences