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Evidence record 14509 · automatically gathered

Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities

arXiv:2607.26062v1 Announce Type: new Abstract: Background: This work investigates the presence of implicit bias in Large Language Model (LLM)-based chat AI models directed toward people with intellectual disabilities (ID). Objective: The study aims to identify and measure representational differences related to people with ID and examine them to identify implicit biases inherent in AI chat generation technologies. Methods: Utilizing the GPT-4-Turbo model, we requested story-generation based on

Record details

Published: 30 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Bias & fairness · Finance, VC & PE
Retrieved: 30 July 2026

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How to cite this record

ethics.ai (30 July 2026), “Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities,” evidence record 14509, https://ethics.ai/record/14509 (originally published by arXiv cs.CY).

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