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Evidence record 19056 · automatically gathered

Variable Selection in the Context of AI Fairness

Fairness in AI systems has become more important with recent regulatory demands, such as the EU AI Act. Traditional approaches often do not take into account philosophical ethics and social awareness. Variable selection processes, in particular, can introduce implicit bias, affecting equity across different subgroups. We discuss a mathematical approach that evaluates fairness in AI, aligning mathematical methodologies with ethical considerations and regulatory requirements. Our aim is to advocat

Record details

Published: 4 August 2026
Source: arXiv fairness query
Category: Research
Topics: Bias & fairness · Regulation
Retrieved: 13 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Same publisher byline · Shared topic: Bias & fairness

Variable Selection in the Context of AI Fairness

arXiv cs.CY · 13 August 2026

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Shared topic: Bias & fairness · Shared topic: Regulation

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How to cite this record

ethics.ai (4 August 2026), “Variable Selection in the Context of AI Fairness,” evidence record 19056, https://ethics.ai/record/19056 (originally published by arXiv fairness query).

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