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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 Code Assistant(also: AI coding assistant, AI programming assistant)
A developer tool powered by large language models that provides code completion, natural-language explanations, refactoring, bug fixes, and conversational programming support inside an IDE or editor. Modern AI code assistants (e.g., GitHub Copilot, Cursor, Cline) often include…
AI Companion(also: Chatbot Companion, AI Companionship)
An AI companion is an artificial-intelligence system - typically a text, voice or avatar-based chatbot built on a large language model - explicitly designed to offer users a sense of social presence, intimacy or relational support, marketed as a friend, confidant, mentor or…
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.…
AI-Generated Speech(also: Synthetic Speech, AI Speech)
Speech audio produced by artificial intelligence systems — typically neural text-to-speech or voice cloning models — rather than recorded from a human speaker. Deaf and hard-of-hearing content creators increasingly use AI-generated speech to add spoken-language tracks to signed…
AI-Mediated Dialogue
A paradigm in which a large language model (or similar conversational agent) stands between a user and a task, simulated social situation, or another user — either producing the conversational partner's turns, coaching the user's next turn, or both. AI-mediated dialogue is…
Agent Mode(also: AI agent mode)
An interaction mode in AI code assistants where the assistant autonomously decomposes a high-level request into subtasks, iteratively plans, executes, and observes — typically editing multiple files, running terminal commands, and self-correcting until goals are met. Agent mode…
Algorithmic Decision-Making(also: ADM, Automated decision-making)
The use of software systems — from rule-based logic to machine learning models — to make or substantially inform decisions that affect individuals, such as eligibility for benefits, credit, housing, or employment. In public services, algorithmic decision-making is often deployed…
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…
Automated Decision-Making(also: ADM, Algorithmic Decision-Making)
The process of making decisions about individuals using automated means, typically involving AI or algorithmic systems, with limited or no human intervention. Under the GDPR, "solely automated" decisions that produce "legal or similarly significant effects" on individuals are…

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