Impact assessment
Material impacts on users, workers, customers or the public are assessed.
The U.S. EEOC alleged that iTutorGroup programmed application software to automatically reject female applicants aged 55 or older and male applicants aged 60 or older, affecting more than 200 qualified applicants.
The case resulted in a $365,000 settlement and injunctive relief.
Age and sex criteria were encoded directly into automated screening software.
Five-year consent decree, monetary relief and restrictions on discriminatory screening.
This record should inform control design, testing and monitoring for comparable AI systems. The incident database does not infer that every system using the same provider or model shares the same failure.
These are CRG methodology mappings from the documented incident to controls worth testing in comparable systems. They do not assert that any single control would have prevented the incident.
Material impacts on users, workers, customers or the public are assessed.
Materially affected groups and differential risks are identified.
Where relevant, outcome disparities are measured using appropriate metrics.
People can challenge or escalate consequential AI-supported outcomes where appropriate.
U.S. Equal Employment Opportunity Commission · confidence 99% · last verified 23 Aug 2026
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