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Evidence record 4520 · automatically gathered

Causal Bias Detection in Generative Artificial Intelligence

Automated systems built on artificial intelligence (AI) are increasingly deployed across high-stakes domains, raising critical concerns about fairness and the perpetuation of demographic disparities that exist in the world. In this context, causal inference provides a principled framework for reasoning about fairness, as it links observed disparities to underlying mechanisms and aligns naturally with human intuition and legal notions of discrimination. Prior work on causal fairness primarily foc

Record details

Published: 12 May 2026
Source: arXiv
Category: Research
Topics: Bias & fairness
Retrieved: 14 July 2026

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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 (12 May 2026), “Causal Bias Detection in Generative Artificial Intelligence,” evidence record 4520, https://ethics.ai/record/4520 (originally published by arXiv).

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