Glossary

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DALL-E(also: DALL-E 2, DALL-E 3, DALLE)

A family of text-to-image generative AI models developed by OpenAI that produces images from natural-language prompts. DALL-E models are widely used by content creators, including people with disabilities, to generate visuals without photography or illustration skills, but they…

Debiasing(also: Bias mitigation, Bias correction)

Debiasing refers to techniques and processes applied to AI systems—particularly machine learning models and large language models—to detect, reduce, or eliminate unfair biases that cause the system to produce outputs that discriminate against or misrepresent specific demographic…

Disability Porn

A critical term used within disability studies and disability communities to describe media content that frames disabled people as objects of pity, tragedy, or spectacle for a non-disabled audience's emotional consumption. Often paired with or related to 'inspiration porn,' the…

Overcompensation(also: Positive overcorrection, Debiasing overcorrection)

In the context of AI bias and disability representation, overcompensation (also called positive overcorrection) refers to a failure mode in which a model's debiasing mechanisms over-adjust away from negative portrayals, producing excessively or unrealistically positive…

Text-to-Image Model(also: T2I Model, T2I, Text-to-Image Generator)

A generative AI system that produces images from natural-language prompts. Prominent examples include DALL-E, Stable Diffusion, and Midjourney. In accessibility contexts, text-to-image models have been shown to replicate and amplify disability stereotypes — for example,…

Toxic positivity(also: Forced positivity, Positive bypassing)

Toxic positivity refers to the excessive promotion of optimistic or uplifting framing that dismisses, minimises, or erases negative emotions, suffering, and genuine hardship. In disability contexts, toxic positivity manifests when portrayals of disabled people focus exclusively…

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