Glossary
Terms used in accessibility research and practice. Each entry has a definition, common aliases, and category tags.
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- AI Hiring Interview(also: Automated Video Interview, AVI, Asynchronous Video Interview)
- An asynchronous job-interview process in which candidates record video responses to pre-recorded or text-based questions on a platform that uses artificial intelligence to analyse facial expressions, vocal cues, word choice, and behavioural signals to score suitability.…
- Algorithmic Audit(also: AI Audit, Algorithmic Auditing)
- A structured evaluation of an algorithmic system that measures how its behaviour differs across users, groups, or contexts - typically to surface bias, fairness failures, or disparate impact. Accessibility-oriented audits go beyond aggregate accuracy to look at where and why a…
- 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,…
- Allocative Harm(also: Allocational Harm)
- A category of algorithmic harm in which an automated system disproportionately withholds opportunities, resources, or services from certain individuals or groups - often because those groups are underrepresented or atypically represented in training data. In accessibility,…
- Automated Decision Making(also: ADM, Automated Decision System, ADS)
- The use of software, statistical models, or AI to make or substantially inform decisions about people — eligibility for loans, jobs, benefits, housing, healthcare, or parole — with limited or no human review. Regulatory frameworks such as the EU AI Act, NYC Local Law 144, and…
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