Revisiting Fairness Impossibility with Endogenous Behavior
In many real-world settings, institutions can and do adjust the consequences attached to algorithmic classification decisions, such as the size of fines, sentence lengths, or benefit levels. We refer to these consequences as the stakes associated with classification. These stakes can give rise to behavioral responses to classification, as people adjust their actions in anticipation of how they will be classified. Much of the algorithmic fairness literature evaluates classification outcomes while holding behavior fixed, treating behavioral differences across groups as exogenous features of the environment. Under this assumption, the stakes of classification play no role in shaping outcomes...
| Authors | Elizabeth Maggie Penn, John W. Patty |
|---|---|
| Primary category | cs.GT |
| Published | 7 April 2026 |
| Last updated at source | 7 April 2026 |
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