Glossary

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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…

AI Ghostwriter Effect(also: Ghostwriter Effect)

A phenomenon, first named by Draxler and colleagues, in which people who use AI writing assistants do not perceive themselves as authors or owners of the resulting text yet still publicly self-declare authorship. The effect persists even when personalization makes outputs…

AI Over-Reliance(also: Automation Bias (AI), Over-Reliance on AI)

The tendency of users to accept AI system outputs — recommendations, classifications, or content — without sufficient critical evaluation, even when those outputs are wrong or biased. Over-reliance is a well-documented AI safety concern and is especially consequential in…

AI for Accessibility(also: AI4A, Artificial Intelligence for Accessibility)

An umbrella framing used by technology companies and researchers for applications of artificial intelligence — including computer vision, natural language processing, speech recognition, and generative models — intended to benefit disabled users. Common examples include…

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 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,…

Automation Transparency(also: AI Transparency (Automation), Transparent Automation)

The degree to which an automated or autonomous system communicates its current state, intent, and reasoning to the humans who depend on it. In autonomous transport, transparency includes cues such as "holding position for traffic," docking countdowns, or explanations of…

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