AMCEs – Pooled across scenarios.

<div><p>The naive approach to preventing discrimination in algorithmic decision-making is to exclude protected attributes from the model’s inputs. This approach, known as “equal treatment,” aims to treat all individuals equally regardless of their demographic characteristics. However, th...

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Bibliographic Details
Main Author:	Mehdi Mourali (10170245) (author)
Other Authors:	Dallas Novakowski (20874883) (author), Ruth Pogacar (10775731) (author), Neil Brigden (8337375) (author)
Published:	2025
Subjects:	Cancer Science Policy Biological Sciences not elsewhere classified reduce unequal impact reduce performance gaps randomized conjoint experiment exclude protected attributes etas ), characterized choice experiment revealed although impact parity model &# 8217 higher predictive accuracy accuracy gap grew individuals equally regardless eias decreased sharply algorithmic fairness attitudes &# 8220 algorithmic decisions algorithmic decision accuracy maximization xlink "> united states still result reverse preference republicans displayed public perception preventing discrimination demographic characteristics alternative notions
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AMCEs – Pooled across scenarios.

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