OOF-AII-114551

Police Departments Reported ShotSpotter as Unreliable and Wasteful

ShotSpotter algorithmic systems locating gunshots were reported by police departments for containing high false positive rates and wasting police resources, prompting discontinuation.

Event date
2012-10-09
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
Limited

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

Known facts from the incident record

  • The incident record identifies the event date as 2012-10-09.
  • The incident record identifies the location as United States of America.

Reported claims

  • ShotSpotter algorithmic systems locating gunshots were reported by police departments for containing high false positive rates and wasting police resources, prompting discontinuation.

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

Governance focus: How should support, 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, 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?
  • When and through what governed transition does existing positive value reach a zero-value condition?
  • What operational authority and controls applied to Troy Police Department, Syracuse Police Department, San Francisco Police Department, San Antonio Police Department, New York City Police Department, Fall River Police Department, Chicago Police Department at the relevant time?

Evidence gaps and limitations

  • Only one independent source group is represented; corroboration is not established.

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