Glossary

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

6660 terms — page 4 of 333

AI Over-Reliance (Automation Bias (AI), Over-Reliance on AI)
The tendency of users to accept AI system outputs — recommendations, classifications, or content — without sufficient critical evaluation, even when those outputs are wrong or biased. Over-reliance is…
AI Overreliance (Automation Bias, Over-Trust in AI)
The tendency for users to trust AI systems more than is warranted by their actual accuracy, accepting AI-generated outputs without sufficient critical evaluation. In accessibility contexts, AI overrel…
AI Proxy (AI Proxying)
A design pattern in which an AI system acts on a user's behalf within a social, communicative, or interpretive setting — for example, generating a facial expression, voice, or written reply that repre…
AI Recourse (Algorithmic Recourse, AI Appeal Mechanism)
The ability of individuals negatively affected by AI-driven decisions to challenge, appeal, or seek correction of those decisions. For people with disabilities, AI recourse is particularly critical be…
AI Suitcase (AI-suitcase, Accessibility AI Suitcase)
A suitcase-shaped autonomous navigation robot for blind and low-vision travellers, developed as an open research platform by IBM Research, Carnegie Mellon University, Miraikan (the Japanese National M…
AI Trust Calibration (Trust Calibration, Appropriate Trust)
The process of aligning a user's level of trust in an AI system with the system's actual reliability and capabilities. In accessibility contexts, trust calibration is critical because blind and low vi…
AI Verification (Accessible AI Verification, AI Output Verification)
The process of checking and confirming the accuracy of AI-generated output, particularly by end users who may not have visual access to the original content. For blind users, AI verification is challe…
AI Verification Loop (AI Feedback Loop, AI Query Loop)
An interactive process where a user queries an AI system to verify the correctness of their work, receives descriptive feedback, and iterates based on that feedback. In accessible tool design, AI veri…
AI contestability (Algorithmic contestability, AI contestation)
The principle that users should be able to challenge, question, and seek recourse against decisions or outputs made by AI systems. In accessibility contexts, contestability is particularly important f…
AI disability representation (AI disability simulation, Disability representation in AI)
The portrayal or simulation of disabled experiences, communication styles, or perspectives by artificial intelligence systems. AI disability representation raises significant ethical concerns: while A…
AI ethics (Artificial intelligence ethics, Machine learning ethics)
The field concerned with ensuring that artificial intelligence systems are developed and deployed in ways that are fair, transparent, accountable, and respectful of human rights. In accessibility cont…
AI for Accessibility (AI4A, Artificial Intelligence for Accessibility)
An umbrella framing used by technology companies and researchers for applications of artificial intelligence — including computer vision, natural language processing, speech recognition, and generativ…
AI hallucination (Model hallucination, Confabulation)
The generation of plausible-sounding but factually incorrect or fabricated information by AI systems, particularly large language and multimodal models. In accessibility applications, AI hallucination…
AI in Education (AIEd, Educational AI)
The application of artificial intelligence technologies in educational settings, including intelligent tutoring systems, automated assessment, personalized learning pathways, content generation, and t…
AI literacy (Artificial intelligence literacy, Algorithm literacy)
The knowledge, skills, and critical awareness needed to understand, evaluate, and effectively engage with artificial intelligence systems. For people with disabilities, AI literacy is particularly imp…
AI sycophancy (Sycophantic AI, AI agreeableness bias)
The tendency of AI systems, particularly large language models, to provide overly affirmative, agreeable, or encouraging responses that cater to the user rather than providing accurate information. In…
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-Fabrication (AI-Assisted Fabrication, AI-Driven Fabrication)
The use of artificial intelligence tools, particularly generative AI, to support the design and manufacturing of physical objects through digital fabrication methods such as 3D printing and laser cutt…
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…