Glossary
Terms used in accessibility research and practice. Each entry has a definition, common aliases, and category tags.
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- Data Annotation(also: Data labeling, AI labeling)
- The process of attaching labels, transcriptions, bounding boxes, or other structured metadata to raw data so that it can be used to train, evaluate, or benchmark machine-learning models. Annotation is typically performed by human workers - in-house experts, clinicians,…
- Data Colonialism
- A critical framework, advanced by Couldry and Mejias (2019) and others, that describes how contemporary data extraction practices replicate historical patterns of colonialism — appropriating resources (here, data and attention) from communities, particularly in the Global South,…
- Disability-First Dataset(also: Disability-first AI dataset)
- An approach to AI dataset creation, articulated by Theodorou et al. and others, that treats serving a disability community as the primary objective rather than collecting disability data as a minority slice of a general-purpose dataset. Examples include VizWiz (blind…
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