Energy Shields for Fairness
Runtime fairness is not a one-time constraint but a dynamic property evaluated over a sequence of decisions. To ensure fairness at runtime, it is necessary to account for past decisions, information neglected by conventional, static classifiers. Traditional fairness shields enforce runtime fairness abruptly, by intervening \emph{deterministically} whenever a sequence of decisions violates the target for a running fairness measure. This motivates our \emph{main conceptual contribution: \textbf{en
Record details
Published: 24 May 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Environment
Retrieved: 14 July 2026
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ethics.ai (24 May 2026), “Energy Shields for Fairness,” evidence record 3785, https://ethics.ai/record/3785 (originally published by arXiv).
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