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Evidence record 12635 · automatically gathered

Simulating Eutopia: Revisiting Long-term Fairness with Outcomes, Performativity, and Dynamics

arXiv:2607.19389v1 Announce Type: new Abstract: As AI-driven Decision Makers (ADMs) influence our socioeconomic reality, their roles in both enhancing efficiency and amplifying the social biases have drawn attention. In this paper, we revisit the nuances of long-term `fairness' achievable by an ADM, specifically in the context of a credit lending induced wealth process. The literature on long-term fairness mostly (a) considers passive environments, i.e. the outcome of a predictor does not change

Record details

Published: 23 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Bias & fairness · Environment
Retrieved: 23 July 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.

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How to cite this record

ethics.ai (23 July 2026), “Simulating Eutopia: Revisiting Long-term Fairness with Outcomes, Performativity, and Dynamics,” evidence record 12635, https://ethics.ai/record/12635 (originally published by arXiv cs.CY).

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