Glossary

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

42 results found in AI.

HyDE (Hypothetical Document Embeddings)
A query-expansion technique for retrieval-augmented generation in which an LLM is first asked to generate a hypothetical answer to the user's question, and that hypothetical answer — rather than (or a…
Jailbreak (LLM Jailbreak, AI Jailbreak)
In the context of generative AI, a class of adversarial input designed to bypass a model's safety rules, instruction-following constraints, or content policy — for example, instructions that tell the …
LLM (Large Language Model)
A large neural network trained on enormous volumes of text (and often code and images) to predict and generate natural language. Modern LLMs such as GPT-5, Claude, and Gemini can follow instructions, …
LLM Agent (Generative Agent, Task-Executing Agent)
A software system built around a large language model that autonomously perceives state, plans actions, executes them against an environment (a web page, a mobile app, a shell, a UI), and reflects on …
MLLM (Multimodal LLM, Multimodal Large Language Model)
A large language model extended to accept and reason over multiple input modalities — typically images and text, and sometimes audio or video — in addition to producing natural-language output. Exampl…
Model Cards (Model card)
Short structured documents, proposed by Mitchell et al. (2019), that accompany a machine learning model and report its intended uses, performance across relevant demographic subgroups, training data, …
Music GenAI (Generative Music AI, AI Music Generation)
Generative AI systems that produce musical output — melodies, full songs, instrumental accompaniment, or vocal tracks — from text prompts, seed audio, or structured parameters. Examples include Suno, …
Neural Vocoder
A deep-learning model that synthesises audio waveforms from intermediate acoustic representations such as mel-spectrograms or discrete speech units. Examples include HiFi-GAN, WaveNet, WaveGlow, and S…
ORBIT Dataset (Object Recognition for Blind Image Training)
A disability-first machine learning dataset for teachable object recognition, contributed by people who are blind or have low vision. The original ORBIT dataset (Massiceti et al., 2021) contains 3,822…
Personalized Object Recognition (Teachable Object Recognition)
A class of computer vision systems that allow an individual user — typically someone who is blind or has low vision — to train their device to recognize a small set of personally relevant objects (a s…
Prompt Injection (Indirect Prompt Injection, Prompt Engineering Attack)
A technique — originally an LLM security concern — in which carefully crafted instructions embedded in a user prompt or referenced content override the model's intended behaviour, constraints, or safe…
RAG (Retrieval-Augmented Generation)
An AI architecture pattern that pairs a large language model with an external knowledge store (typically a vector index of text chunks) so that, for each user query, relevant documents are retrieved f…
Red Teaming (Generative Red-Teaming, AI Red Teaming)
A structured evaluation practice in which an adversarial team probes a system — traditionally a network or application, increasingly an AI model or conversational agent — with realistic attack scenari…
Red-teaming (Red team testing)
A structured adversarial-testing practice in which a dedicated team deliberately attempts to break, manipulate, or provoke harmful outputs from a system — originally from military strategy, now widely…
Replika
Replika is a commercial AI companion app, launched by Luka Inc. in 2017, that offers users a customisable digital avatar designed to 'develop its own personality' through conversational interaction. U…
Reverse Privacy Paradox
The reverse privacy paradox is a pattern, described by Zhang and colleagues in research on LLM-based conversational agents, in which users appear to disregard privacy concerns in the moment of use whi…
Robodebt (Online Compliance Intervention)
An automated debt-recovery scheme run by Services Australia (Centrelink) from 2016 to 2020, which used income-averaging algorithms to calculate alleged welfare overpayments and issue hundreds of thous…
Speech-to-Speech (S2S, Speech-to-Speech Conversion)
A class of systems that transform one speech signal directly into another — for example, converting atypical input (whispered, dysarthric, accented, or cross-lingual speech) into clear, intelligible o…
Suno (Suno AI, Suno v3.5)
A commercial generative AI platform that produces full songs — lyrics, vocals, instrumentation — from short natural-language prompts specifying genre, mood, tempo, and lyrical content. Suno is widely …
Sycophancy (AI Sycophancy, Sycophantic AI)
A behavioral tendency in large language models to agree with, flatter, or validate the user's stated views and self-assessments rather than offer accurate or critical feedback - even when the user is …