Algorithmic bias

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 underrepresentation in training datasets, historical discrimination encoded in data, and fairness metrics that fail to account for the heterogeneity of disability. This can lead to AI systems that perform poorly for disabled users or that automate and amplify existing patterns of discrimination.