PR NEWSWIRE: Is AI Fair? New Evidence Suggests Bias Against People with Intellectual Disabilities Is Built In
According to a landmark peer-reviewed study published in the Disability and Health Journal by Special Olympics International and Oregon State University, popular large language models (LLMs) exhibit built-in, implicit bias against people with intellectual disabilities (ID). By analyzing 25,000 AI-generated short stories, researchers discovered that five leading AI systems consistently lean into "automated ableism," portraying individuals with ID as dependent, childlike, and heavily in need of supervision or constant inspiration compared to those without disabilities. Because these models are widely used across global workforces, healthcare, and education, the study warns that these deeply embedded stereotypes risk scaling globally, prompting a strong call from advocates for AI developers to actively involve people with disabilities in inclusive design and bias mitigation.
