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Domain Atlas / Public benefits & eligibility

Case fileMichigan, USAgiant deployment

Michigan MiDAS

Michigan's MiDAS system auto-adjudicated unemployment-insurance fraud with an extremely high error rate among automated determinations, wrongly accusing tens of thousands of people; litigation and court action forced review and compensation.[4]

What happened

Michigan's Integrated Data Automated System (MiDAS) determined unemployment-insurance fraud algorithmically, issuing accusations, penalties, and collections in many cases without human review of the determination. Reporting, the state Attorney General's office, and incident documentation describe an extremely high error rate among the auto-adjudicated fraud findings and tens of thousands of people wrongly accused, with wage garnishments and tax-refund seizures downstream. Litigation (the Bauserman line of cases) and court action ultimately forced review and compensation.

The sociotechnical reading

In system-map terms, MiDAS removed the operator network almost entirely: model output flowed to enforcement records and collections with no correction stage. With the error-to-record pathway wide open and the correction dial near zero, errors were self-sustaining by construction — no model improvement could have compensated for the missing human loop. The eventual controls came from actors outside the deploying agency: courts and litigation, years after deployment. The case is the strongest documented argument for why "who can correct, and how fast" matters more than headline accuracy.

The concepts used in this reading are defined in the Field Guide; the governance responses live in the Practice Library. A stylized system in this case's shape can be stress-tested in the PAN Lab.

Grounding sources for this case

The same sources that ground this model organization in the PAN library — evaluations, government documents, investigative reporting, and advocacy documentation, each labeled by tier.

aiincidentdatabaseGroundingInvestigative

AI Incident Database, Incident 373 (MiDAS false fraud claims) https://incidentdatabase.ai/cite/373/

https://incidentdatabase.ai/cite/373/

Grounds: model org: michigan_midas

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The histories here are documented after the harm. Mapping a live deployment's pathways and pressures — before the incident report — is engagement work: intake, diagnosis, prescription, and monitoring, with every limitation stated.

Sources & Evidence

Claims made on this page and what supports them. The full registry lives in Evidence.

EmpiricalMichigan's MiDAS system auto-adjudicated unemployment-insurance fraud with an extremely high error rate among …

Michigan's MiDAS system auto-adjudicated unemployment-insurance fraud with an extremely high error rate among automated determinations, wrongly accusing tens of thousands of people; litigation and court action forced review and compensation.

aiincidentdatabaseGroundingInvestigative

AI Incident Database, Incident 373 (MiDAS false fraud claims) https://incidentdatabase.ai/cite/373/

https://incidentdatabase.ai/cite/373/

Grounds: model org: michigan_midas