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• Shiny Stories, Hidden Struggles: Investigating the Representation of Disability Through the Lens of LLMs

  Marco Bombieri, Simone Paolo Ponzetto, Marco Rospocher · 2026 · ACM Transactions on Intelligent Systems and Technology

  This paper investigates how Large Language Models (LLMs) represent disability by comparing AI-generated social media posts with self-descriptions from real people with disabilities on Reddit. The study addresses a critical gap in bias research: while prior work has focused on…

  AI bias · large language models · disability representation · inspiration porn · toxic positivity

• Examining and Mitigating Ability-bias in LLMs via Self-Reflection

  Neel Iyer, Akshita Jha, Alisha Pradhan · 2025 · Proceedings of the 22nd International Web for All Conference (W4A)

  This short paper investigates ability bias in large language models — the tendency of LLMs to encode and perpetuate stereotypical or discriminatory associations about people with disabilities. Using the Bias Benchmarking Questionnaire (BBQ) dataset, the authors administered…

  ability bias · ableism · LLM bias · debiasing · AI fairness

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