  Recent advancements in image generation technology have enabled widespread
access to AI-generated imagery, prominently used in advertising, entertainment,
and progressively in every form of visual content. However, these technologies
often perpetuate societal biases. This study investigates the representation
biases in popular image generation models towards people with disabilities
(PWD). Through a comprehensive experiment involving several popular
text-to-image models, we analyzed the depiction of disability. The results
indicate a significant bias, with most generated images portraying disabled
individuals as old, sad, and predominantly using manual wheelchairs. These
findings highlight the urgent need for more inclusive AI development, ensuring
diverse and accurate representation of PWD in generated images. This research
underscores the importance of addressing and mitigating biases in AI models to
foster equitable and realistic representations.
