Glossary

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

79 results found in Artificial Intelligence.

Convolutional Neural Network (CNN, ConvNet)
A class of deep neural network that uses convolutional filters to automatically extract spatial features from data, originally designed for image processing but now widely applied to sensor data, audi…
Counterfactual Explanation (Counterfactual XAI)
An explanation technique that communicates what minimal change to the input would have produced a different output from an AI model, for example 'if the applicant's income had been $5,000 higher, the …
Decision-Theoretic Planning (Decision-Theoretic Approach)
A computational approach to planning that uses mathematical models of decision-making under uncertainty, most commonly Markov Decision Processes (MDPs), to select optimal actions based on the current …
Domain Adaptation (Cross-Domain Transfer, UDA, Unsupervised Domain Adaptation)
A machine learning technique that enables models trained on data from one domain (such as web interfaces) to perform well on a different but related domain (such as mobile app interfaces). Domain adap…
Dynamic Bayesian Network (DBN, Temporal Bayesian Network)
A probabilistic graphical model that represents sequences of variables over time, extending standard Bayesian networks to handle temporal relationships. In accessibility and affective computing contex…
Dynamic Content Filtering (Intelligent Content Filtering, AI-Based Filtering)
The automated process of selectively showing or hiding web content based on computed relevance to a user's goals, preferences, or context. Dynamic content filtering uses AI models (such as large langu…
Embodied Conversational Agent (ECA, Virtual Agent, Animated Agent)
A computer-generated animated character designed to interact with human users using multiple simultaneous communication channels — typically speech, eye gaze, facial expression, head and body posture,…
Engagement Detection (Engagement Monitoring, Engagement Recognition)
The use of sensors, computer vision, or other technologies to automatically assess whether a person is actively engaged with a task, device, or activity. Engagement detection systems typically monitor…
Few-Shot Prompting (In-Context Learning, Few-Shot Learning)
A technique for guiding large language models by providing a small number of examples within the input prompt to demonstrate the desired task or output format. In accessibility applications, few-shot …
Fuzzy Logic (Fuzzy Inference)
Fuzzy logic is a form of many-valued logic that deals with approximate reasoning, where truth values range continuously between 0 and 1 rather than being strictly true or false. In assistive technolog…
Grad-CAM (Gradient-weighted Class Activation Mapping)
A widely used explainable AI technique, introduced by Selvaraju et al. in 2017, that produces a class-discriminative heat map over an input image by weighting convolutional feature maps by the gradien…
Hallucination (AI Hallucination, Confabulation)
In the context of AI and large language models, the generation of content that is plausible-sounding but not grounded in the input data or factual reality. Hallucinations pose a particular risk in acc…
Human-AI Alignment (AI Alignment, Value Alignment)
The design and training of AI systems to exhibit behaviours consistent with human values, intentions, and goals. In accessibility, human-AI alignment requires that AI systems accurately represent and …
Human-in-the-Loop (HITL)
An approach to AI system design and evaluation that incorporates human judgment, feedback, and oversight at critical points in automated processes. In accessibility contexts, human-in-the-loop methodo…
Hybrid Captioning (AI-Augmented Captioning, Blended Captioning)
A captioning approach that combines human-generated captions with AI-powered correction or enhancement to achieve higher accuracy than either method alone. Hybrid systems leverage the reliability and …
Image-to-3D Generation (Image-to-3D Conversion, 2D-to-3D Generation)
An AI-powered process that converts two-dimensional images into three-dimensional digital models suitable for manipulation, rendering, or physical fabrication via 3D printing. In assistive technology …
Instance Segmentation
A computer vision technique that identifies and delineates individual objects within an image at the pixel level, distinguishing separate instances even when they belong to the same category. In acces…
Intelligent Tutoring System (ITS, AI Tutor)
An AI-powered educational system that provides personalized instruction, feedback, and scaffolding adapted to individual learners' needs, knowledge levels, and learning patterns. Modern intelligent tu…
LIME (Local Interpretable Model-agnostic Explanations)
An explainable AI technique, introduced by Ribeiro et al. in 2016, that approximates any black-box model's behaviour around a single prediction by fitting a simple interpretable model (usually sparse …
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 …