Glossary

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

192 results found in artificial intelligence.

AI transparency (Algorithmic transparency, Model transparency)
The practice of making artificial intelligence systems understandable to users and stakeholders, including how they work, what data they use, and the confidence levels of their outputs. For assistive …
AI-Assisted Editing (AI-Powered Editing, Intelligent Editing)
The use of artificial intelligence to support or automate aspects of content editing, such as suggesting improvements, applying changes based on user intent expressed in natural language, or automatic…
AI-Generated Alt Text (Automated Alt Text, AI Image Descriptions)
Alternative text for images that is automatically generated by artificial intelligence systems rather than written by humans. AI-generated alt text has become increasingly common on social media platf…
Ability assumption in AI (Visual ability assumption, Sighted bias in AI)
The tendency of AI systems to assume users possess typical sensory, cognitive, or physical abilities, leading to inappropriate responses or instructions. In the context of visual AI assistants for bli…
Accessibility dataset (Disability-inclusive dataset, Accessible benchmark)
A publicly available research dataset that includes data collected from people with disabilities, enabling algorithm development and benchmarking on representative populations rather than exclusively …
Active Learning (AL)
A machine learning paradigm in which the algorithm iteratively selects the most informative unlabeled data points to query a human annotator for labels, enabling effective model training with minimal …
Advocacy Labor (Accessibility Advocacy Labor, Corrective Labor)
The unpaid effort that disabled people must expend to correct biased, ableist, or inaccessible technology outputs and advocate for better representations of disability. In the context of generative AI…
Aesthetic Feedback (Visual Aesthetic Feedback)
Information provided to a user about the aesthetic qualities of visual content, such as clarity, framing, color balance, mood, lighting, and overall style. For blind creators, aesthetic feedback from …
Affective Computing (Emotion AI, Emotional AI)
A field of AI that attempts to detect, interpret, and simulate human emotions using technologies such as facial expression analysis, voice tone detection, physiological sensors, and behavioral pattern…
Algorithmic Bias (AI Bias, Machine Learning Bias)
Systematic and unfair discrimination embedded in the outputs of algorithmic systems, arising from biased training data, flawed model design, or unrepresentative development processes. For people with …
Algorithmic Discrimination (AI Discrimination, Automated Discrimination)
The systematic disadvantaging of specific groups through the operation of AI-driven systems, whether intentional or emergent. For people with disabilities, algorithmic discrimination occurs across man…
Algorithmic Harm (AI Harm, Algorithmic Negative Outcome)
Any difficulty, disadvantage, or injury caused by the use of AI-driven systems, ranging from mere inconvenience to material harm. For people with disabilities, documented algorithmic harms include den…
Algorithmic Moderation (Automated Moderation, AI Content Moderation)
Algorithmic moderation refers to the use of automated systems, including machine learning models and rule-based filters, to identify, flag, rank, or remove content on digital platforms without direct …
Algorithmic accountability (AI accountability)
The principle that organizations and individuals responsible for creating and deploying algorithmic systems should be held responsible for the outcomes and impacts of those systems. In accessibility c…
Algorithmic bias (AI bias, Machine learning bias, Algorithmic discrimination)
Systematic and unfair errors in the outputs of automated decision-making systems that disadvantage particular groups of people. For people with disabilities, algorithmic bias arises from underrepresen…
Anchored Generative Model (Anchored Transformation Model)
A constrained AI generation approach where content creators define upper and lower bounds (anchors) of acceptable variation, and a generative model interpolates between these boundaries based on user …
Atomic Facts (Atomic Claims)
Self-contained units of information extracted from longer text, each representing a single verifiable claim or observation. In AI reliability research, decomposing model responses into atomic facts en…
Audio Separation (Source Separation, Audio Unmixing)
The process of isolating individual audio sources from a mixed audio signal—for example, separating speech from background music, sound effects, and ambient noise. Audio separation enables selective c…
Auto-Generated Captions (Automatic Captions, AI Captions, Machine-Generated Captions)
Captions automatically created by speech recognition technology without human review or editing. Video platforms like YouTube and TikTok offer auto-generated captions as a default accessibility featur…
Automatic Alt Text (AI-generated Alt Text, Auto Alt Text, Machine-generated Alt Text)
Alternative text for images that is automatically generated by artificial intelligence systems using computer vision and natural language processing. Platforms like Microsoft PowerPoint, Facebook, and…