AI Representation of Disabilities: Progress and Challenges

Friday, 2025/10/17161 words3 minutes1253 reads
Jessica Smith, a former Australian Paralympic swimmer, recently conducted an interesting experiment with AI image generation. Initially, when she tried to create an image of herself - a woman missing her left arm below the elbow - the AI struggled to accurately represent her disability.
However, in a recent attempt, Smith was pleasantly surprised to find that the AI could now generate an accurate image of a woman with one arm. This improvement marks a significant step forward in AI's ability to represent people with disabilities.
While this progress is encouraging, challenges remain. Naomi Bowman, who has sight in only one eye, experienced issues when using AI to edit her photo. The AI altered her face and 'corrected' her eyes, even when specifically instructed not to do so.
Experts emphasize the importance of diverse representation in AI development. They argue that including people with varied experiences in the data creation and training process is crucial for building more inclusive AI systems.
AI Representation of Disabilities: Progress and Challenges

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  1. 1

    What was the main improvement in AI that Jessica Smith noticed?

  2. 2

    According to experts, what is important for building more inclusive AI systems?