OOF-AII-778902

Justice Department’s Recidivism Risk Algorithm PATTERN Allegedly Caused Persistent Disparities Along Racial Lines

Department of Justice’s inmate-recidivism risk assessment tool was reported to have produced racially uneven results, misclassifying risk levels for inmates of color.

Event date
2022-01-26
Country
United States of America
Severity
Moderate
Evidence state
Single-source

Assessment status

Generated from available public incident evidence using OOF® governance methodology. It is not an official investigation, legal determination, regulatory finding, certification, or OOF® Approved Assessment.

View source record from AI Incident Database (Responsible AI Collaborative)

Assessment confidence dimensions

Source corroboration
Single-source

Measures source-group corroboration only; it does not establish factual truth.

Extraction completeness
High

Measures populated source fields after deterministic normalization; it does not measure correctness.

Methodological assignment confidence
Moderate

Measures automated assignment support; substantive correctness requires authorized human review.

Known facts from the incident record

  • The incident record identifies the event date as 2022-01-26.
  • The incident record identifies the location as United States of America.

Reported claims

  • Department of Justice’s inmate-recidivism risk assessment tool was reported to have produced racially uneven results, misclassifying risk levels for inmates of color.

Material unknowns

  • Independent corroboration is not established in the available incident record.

Primary governance problem

The incident appears to expose a governance problem involving support, assessment, enforcement. Available reporting supports preliminary methodological interpretation, not a finding of fault or non-compliance.

Architecture intelligence

PGA™ — Prediction Governance Architecture

Primary architecture

The reported support, assessment, enforcement concern falls within the governed questions represented by PGA™ — Prediction Governance Architecture.

Governance focus: How should support, assessment, enforcement be governed in the conditions described by the available incident evidence?

Deeper methodology is withheld because the available evidence does not justify a Parent Standard or Core Module.

CLIA® — Cognitive Governance Intelligence Architecture

Contributing architecture

The reported decision concern falls within the governed questions represented by CLIA® — Cognitive Governance Intelligence Architecture.

Governance focus: How should decision be governed in the conditions described by the available incident evidence?

Deeper methodology is withheld because the available evidence does not justify a Parent Standard or Core Module.

Preliminary governance questions

  • How should support, assessment, enforcement be governed in the conditions described by the available incident evidence?
  • How should decision, enforcement be governed in the conditions described by the available incident evidence?
  • How should decision be governed in the conditions described by the available incident evidence?
  • What is the current governed state of value?
  • What operational authority and controls applied to United States Department Of Justice at the relevant time?

Evidence gaps and limitations

  • Only one independent source group is represented; corroboration is not established.
  • AI technology is not specified in the source record.

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