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Glossary

Terms used in accessibility research and practice. Each entry has a definition, common aliases, and category tags.

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AI Auditing(also: Algorithmic Auditing, AI Audit)
The systematic evaluation of an AI system's outputs, behaviour, or training data to identify harms such as bias, stereotype reproduction, or accessibility failures. Audits may be conducted by industry professionals, external researchers, regulators, or end users, and are…
ASL Linguistic Markers(also: Non-Manual Markers, Non-Manual Signals, ASL Facial Grammar)
Facial expressions, head movements, and body postures that serve grammatical and semantic functions in American Sign Language and other sign languages, distinct from emotional facial expressions. Common ASL linguistic markers include MM (meaning effortlessly or regularly,…
Ability Bias(also: Ability-Based Bias, Disability Bias)
A form of social bias encoded in artificial intelligence systems, particularly large language models, that reflects stereotypical or discriminatory assumptions about people with disabilities. Ability bias manifests through linguistic associations that link specific disabilities…
Algorithmic Hiring(also: AI Hiring, Hiring AI, AI-Enabled Hiring)
The use of algorithmic systems — including machine learning and large language models — to source, screen, rank, or select job candidates. Proponents argue algorithmic hiring reduces human bias and scales review; critics show it can amplify bias against disabled, Black, female,…
Automated Employment Decision System(also: AEDS, AEDT, Automated Employment Decision Tool)
A software system that screens, evaluates, categorises, recommends, or otherwise makes or facilitates hiring or employment decisions about job candidates or workers. AEDSs span résumé sorters, personality tests, gamified cognitive assessments, situational-judgement tests,…

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