Michigan MiDAS unemployment insurance fraud detection

MiDAS (Michigan Integrated Data Automated System) is an automated information system used by Michigan's Unemployment Insurance Agency (UIA) to collect unemployment taxes from employers and to pay unemployment insurance benefits to eligible claimants.

A new MiDAS system was introduced in 2013 to ensure that unemployment checks went only to people who deserved them, increase UIA’s efficiency and responsiveness to unemployment claims, and reduce UIA’s operational costs by cutting over 400 workers.

Devised, developed and implemented by software companies SAS Institute, Fast Enterprises, and CSG Government Solutions, the new system searched records of employers and claimants in its database, then flagged people for potential unemployment fraud. 

It then sent questionnaires to an email address on the UIA website that 'recipients may not have had reason to monitor', gave them 10 days to respond, and sent a letter informing them they had been charged with fraud. After a 30-day appeal period, the system began dispersing wage and tax refunds, according to Undark.

System info 🔢

Operator: Michigan Unemployment Insurance Agency (UIA)
Developer: SAS Institute; Fast Enterprises; CSG Government Solutions
Country: USA
Sector: Govt - welfare
Purpose: Detect benefits fraud; Notify claimants
Technology: Fraud detection system  
Issue: Accuracy/reliability; Bias/discrimination - economic; Effectiveness/value; Fairness; Oversight/review; Ownership/accountability; Risk management
Transparency: Governance; Black box; Complaints/appeals; Design/usability; Legal 

Risks and harms 🛑

Michigan's MiDAS unemployment insurance fraud detection system has been accused of erroneous determinations leading to unjust benefit denials, exacerbing financial hardship for vulnerable individuals, and violations of due process rights. 

Incidents and issues 🔥

Legal, regulatory 👩🏼‍⚖️

Investigations, assessments, audits 🧐

News, commentary, analysis 🗞️

Page info
Type: System
Published: March 2023
Last updated: May 2024