Glossary
Searchable terminology from accessibility, web standards, and related fields.
192 results found in artificial intelligence.
- Speech Recognition (Voice Recognition, STT, Speech-to-Text)
- Technology that converts spoken language into text or commands by analyzing audio input. Speech recognition powers dictation systems, voice assistants, and voice-controlled interfaces. For accessibili…
- Speech-to-Text (STT, Speech Recognition, Automatic Speech Recognition, ASR)
- Technology that converts spoken language into written text, enabling voice-based input for digital systems. In accessibility, speech-to-text serves multiple roles: it powers voice command interfaces f…
- Subjective Image Description (Subjective Visual Assessment)
- An image description that involves opinion, aesthetic judgment, or interpretation rather than purely factual content. Examples include assessing whether an outfit matches, whether a room setting looks…
- Support Indicator (Agreement Indicator)
- A visual or textual cue that communicates the degree of agreement across multiple AI model responses for a particular claim. Support indicators help BLV users assess claim reliability by showing how m…
- Support Vector Machine (SVM)
- A supervised machine learning algorithm used for classification and regression tasks. SVMs work by finding the optimal hyperplane that separates data points into distinct categories in a high-dimensio…
- Teachable AI (Teachable Machine Learning, Interactive Machine Learning)
- Teachable AI refers to artificial intelligence systems that allow end users to personalize the system by providing their own training examples, high-level constraints, or prompts — without requiring p…
- Text-to-Image (Text-to-Image Generation, T2I)
- An AI capability that generates visual images from natural language text descriptions (prompts). Text-to-image models like DALL-E, Midjourney, and Stable Diffusion have opened new creative possibiliti…
- Time-Causal Model (Temporal Causal Model, Sequential Logic Model)
- A computational model that enforces temporal coherence in predictions by ensuring that the sequence of recognized events follows a logical causal order. In recipe tracking, a time-causal model prevent…
- Topic Segmentation (Text Segmentation, Topicalisation)
- A natural language processing technique that automatically divides a document into coherent sections based on changes in topic or subject matter. Topic segmentation algorithms detect boundaries where …
- Toxicity detection (Content toxicity scoring, Toxic speech detection)
- An NLP-based content moderation technique that assigns scores to text indicating the likelihood it is rude, disrespectful, or likely to make someone leave a conversation. Research has shown that toxic…
- Training Data (Training Set, Training Dataset)
- The collection of labeled examples used to teach a machine learning model to perform a specific task. The quality, quantity, and diversity of training data directly determine how well a model will per…
- Transfer Learning
- A machine learning technique where a model trained on a large general dataset is adapted to perform a new, more specific task using a much smaller amount of new training data. Rather than training a m…
- Transparency in AI (AI Transparency, Algorithmic Transparency)
- The principle that AI systems should clearly communicate how they work, what data they use, where processing occurs, and what their limitations are. In accessibility contexts, blind users have express…
- UI Agent (User Interface Agent, Browser Agent, AI Agent)
- An AI-powered software system that can autonomously interact with graphical user interfaces on behalf of a user, performing tasks by interpreting natural language commands and translating them into in…
- Variation Summary
- A concise presentation format for AI-generated image descriptions that explicitly organizes information into three categories: agreements (claims supported by all or most models), disagreements (claim…
- Variation Surfacing (Variation Display, Surfacing Variations)
- A technique for helping users assess AI reliability by generating multiple responses from one or more AI models and systematically presenting the differences, agreements, and unique mentions across th…
- Variation-Aware Description
- A presentation format for AI-generated image descriptions that aggregates multiple model responses into a single coherent, hierarchical description while highlighting variations inline. When multiple …
- Video Summarization (Video Summary, Video Condensation)
- The process of creating a shortened version of a video that captures its key content, either through extractive methods (selecting key segments) or abstractive methods (generating new condensed conten…
- Vision-Language Model (VLM, Multimodal AI Model, Large Multimodal Model)
- An artificial intelligence model that can process and reason about both visual (image/video) and textual information simultaneously. Vision-language models like GPT-4o, Claude, and Gemini can describe…
- Visual Access Technology (Visual Assistance Technology, Visual Access Tools)
- Technologies that help blind and low vision people understand visual content in both digital and physical environments. Traditional visual access technologies include screen readers, magnification sof…