Glossary

Searchable terminology from accessibility, web standards, and related fields.

42 results found in AI.

AI Companion (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, …
AI Hiring Interview (Automated Video Interview, AVI, Asynchronous Video Interview, AI 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, …
AI-Generated Speech (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 creator…
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…
Algorithmic Decision-Making (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, o…
Automated Decision Making (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…
Automated Decision-Making (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" decisi…
Co-Creative (Co-Creativity, Co-Creative AI)
A framing of human-AI collaboration in which the AI acts as a creative partner rather than a tool or a replacement — contributing ideas, drafts, or alternatives that the human writer, artist, or desig…
Computer-Using Agent (CUA)
An AI agent, typically built on a Large Multimodal Model, that perceives a computer's graphical user interface through screenshots, reasons about on-screen context, and directly manipulates the interf…
Context Engineering (Context management)
The practice, in LLM-based systems, of deliberately selecting, structuring, and injecting the information an AI model sees on each call — beyond just the user's latest message — so that outputs are gr…
DALL-E (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 disabili…
Data Annotation (Data labeling, AI labeling)
The process of attaching labels, transcriptions, bounding boxes, or other structured metadata to raw data so that it can be used to train, evaluate, or benchmark machine-learning models. Annotation is…
Dataset Collection (Data Collection Protocol)
The process of gathering, curating, and documenting data used to train, evaluate, or benchmark machine learning systems. In accessibility contexts, dataset collection decisions — who contributes, what…
ElevenLabs
A commercial AI voice platform that generates realistic synthetic speech and voice clones from text. ElevenLabs is used in accessibility contexts for producing narrated video voiceovers, audiobook-sty…
Emulated Empathy
Emulated empathy is the design strategy, central to AI companion systems, of producing interactional cues - attentive language, affective mirroring, memory of previously shared information - that simu…
Federated Learning (FL)
A machine-learning approach in which a shared model is trained across many user devices without the raw training data ever leaving those devices: each device computes updates locally and sends only mo…
Few-Shot Object Recognition (Few-Shot Recognition)
A machine learning approach in which a model learns to identify a novel object from only a handful of labelled examples (commonly one to ten) rather than the hundreds or thousands typical of conventio…
Fine-tuning (Model Fine-tuning, Fine-tune, Supervised Fine-tuning, SFT)
A machine-learning technique that adapts a pre-trained foundation model - typically a large language model or vision model - to a specific task, domain, or individual user by continuing training on a …
Griefbot (Deadbot)
A griefbot (sometimes 'deadbot') is an AI chatbot trained on the written, voice or video communications of a deceased person, intended to let bereaved loved ones continue a simulated dialogue with the…
Ground Truth (Gold standard, Reference labels)
In machine learning, the labels treated as authoritative when training or evaluating a model - typically produced by human annotators or expert consensus and assumed to represent the 'correct' answer.…