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