OOF-AII-488585
Detroit Police Allegedly Wrongfully Arrested Black Man Due to Purportedly Faulty Facial Recognition Technology
A Black man was allegedly wrongfully detained by the Detroit Police Department as a result of a purportedly false facial recognition technology (FRT) result.
- Event date
- 2020-01-30
- 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
- Extraction completeness
- High
- Methodological assignment confidence
- Moderate
Measures source-group corroboration only; it does not establish factual truth.
Measures populated source fields after deterministic normalization; it does not measure correctness.
Measures automated assignment support; substantive correctness requires authorized human review.
Known facts from the incident record
- The incident record identifies the event date as 2020-01-30.
- The incident record identifies the location as United States of America.
Reported claims
- A Black man was allegedly wrongfully detained by the Detroit Police Department as a result of a purportedly false facial recognition technology (FRT) result.
Material unknowns
- Independent corroboration is not established in the available incident record.
Primary governance problem
The incident appears to expose a governance problem involving recognition, enforcement. Available reporting supports preliminary methodological interpretation, not a finding of fault or non-compliance.
Architecture intelligence
VFM® — Value Flow Mechanisms Architecture
Primary architecture
The reported recognition, enforcement concern falls within the governed questions represented by VFM® — Value Flow Mechanisms Architecture.
Governance focus: When can existing value be recognized as value within its defined governance context?
Canonical methodology (ParentStandard):
TREGA™ — Tax-Relevant Event Governance Architecture
Contributing architecture
The reported recognition, enforcement concern falls within the governed questions represented by TREGA™ — Tax-Relevant Event Governance Architecture.
Governance focus: How should recognition, enforcement be governed in the conditions described by the available incident evidence?
Canonical methodology (ParentStandard):
Preliminary governance questions
- When can existing value be recognized as value within its defined governance context?
- How should recognition, enforcement be governed in the conditions described by the available incident evidence?
- What operational authority and controls applied to Detroit Police Department at the relevant time?
- What evidence would establish how Ai Enabled Decision Support Systems produced or enabled the reported outcome?
- What additional independent evidence is required to resolve the material evidence gaps?
Evidence gaps and limitations
- Only one independent source group is represented; corroboration is not established.