Tradeoffs are Domain Dependent: Improving Accuracy and Fairness in Property Tax Assessments

Algorithmic fairness research often assumes a tradeoff between fairness and accuracy. Yet this tradeoff may not be universal. We test this assumption in the context of U.S. property tax assessment - a setting in which the output of predictive algorithms directly determines the distribution of tax obligations among homeowners. Currently, systematic assessment errors cause owners of lower-valued properties to face disproportionately high tax burdens, creating regressivity in the property tax syste

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ethics.ai (14 May 2026), “Tradeoffs are Domain Dependent: Improving Accuracy and Fairness in Property Tax Assessments,” evidence record 4316, https://ethics.ai/record/4316 (originally published by arXiv).

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