AI Algorithms For Health Care Flawed By Lack Of Accurate Disability Data

Due to different methods of defining and thinking about disability, the data sets used to create algorithms and train artificial intelligence (AI) tools lack accurate disability data. Currently, disability is defined in varying ways by legal systems, medical systems, social systems, and as an identity. Each method is important, but they differ in their estimates of the number of people with disability. Understanding the variances in defining disability will lead to more accurate collection and organization of disability data.

Legal systems use statutory definitions of disability and are used as the basis of disability rights claims, such as under the . . .