OOF-AII-370297

Former Coffee County, Georgia, Deputy Allegedly Used Flock Safety License-Plate Reader System to Track Woman

Coffee County, Georgia, prosecutors allege former sheriff's deputy Chris Ashley Rozar used the department's Flock Safety license-plate reader system and other law-enforcement databases for personal purposes, including tracking and surveilling a woman without her consent in April–May 2024. A 2026 grand-jury indictment charged him with stalking, computer invasion of privacy, misuse of captured license-plate data, and violation of oath.

Event date
2024-04-10
Country
Location not specified
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
Moderate

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 2024-04-10.

Reported claims

  • Coffee County, Georgia, prosecutors allege former sheriff's deputy Chris Ashley Rozar used the department's Flock Safety license-plate reader system and other law-enforcement databases for personal purposes, including tracking and surveilling a woman without her consent in April–May 2024. A 2026 grand-jury indictment charged him with stalking, computer invasion of privacy, misuse of captured license-plate data, and violation of oath.

Material unknowns

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

Primary governance problem

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

Architecture intelligence

ASGA™ — Autonomous Systems Governance Architecture

Contributing architecture

The reported safety, enforcement concern falls within the governed questions represented by ASGA™ — Autonomous Systems Governance Architecture.

Governance focus: How should safety, 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.

Preliminary governance questions

  • How should safety, enforcement be governed in the conditions described by the available incident evidence?
  • What operational authority and controls applied to Stalkers, Law Enforcement, Coffee County Sheriff'S Office (Georgia), Chris Ashley Rozar at the relevant time?
  • What evidence would establish how Surveillance Technology, Law Enforcement Databases, Georgia Crime Information Center (Gcic) Database, Flock Safety Automated License Plate Reader System, Automated License Plate Readers (Alpr) 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.
  • Country could not be resolved from the available evidence.
  • AI technology is not specified in the source record.
  • industry is not specified in the source record.
  • AI system type is not specified in the source record.

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