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Kurt Glaze, Daniel E. Ho, Gerald K. Ray, Christine Tsang Working paper / technical note

Artificial Intelligence for Adjudication: The Social Security Administration and AI Governance

Stanford University Digital Health Observatory

Ref: SRC-002-USA-007

Accessed: 3/23/2026

Summary

Academic paper examining how SSA pioneered AI tools in adjudication. Describes the QDD process as using a predictive model to identify cases involving impairments that usually result in disability, enabling the agency to skip resource-intensive hearings when cases were likely to result in an award. Discusses SSA's data infrastructure, governance, and AI use cases including workload management and the Insight decision support tool.

View Harvard reference

Glaze, K., Ho, D.E., Ray, G.K. and Tsang, C. (n.d.) 'Artificial Intelligence for Adjudication: The Social Security Administration and AI Governance', Stanford University Digital Health Observatory. Available at: https://dho.stanford.edu/wp-content/uploads/SSA.pdf (Accessed: 23 March 2026).

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