Raleigh police use Traffic Jam to link a trafficker's movements

AI system

System: Traffic Jam
Model: Not assessed
Release: Not assessed
Application developer: Marinus Analytics (origin: Carnegie Mellon University undergraduate project)
Role: Not assessed
Configuration: Not assessed
Inputs and outputs: Not assessed
Autonomy: Not assessed
Workflow: Continuous scraping of escort ads since 2011. Phone-number and image-similarity indexing across cities. Detectives with an existing lead (phone number or photo).
Human oversight: Not assessed
Relation to AI: Named Raleigh officers describe what the tool does for them (phone-number and image linkage across cities). The claims that it has led to hundreds of recoveries come from the vendor, relayed by CBN and Futurism without a documented case.
AI contribution: Named Raleigh officers describe what the tool does for them (phone-number and image linkage across cities). The claims that it has led to hundreds of recoveries come from the vendor, relayed by CBN and Futurism without a documented case.

Outcome identifiers: Not assessed
Benefit: CBN (18 Oct 2017) shows Raleigh PD detectives using Traffic Jam, a CMU-born tool with facial recognition over escort ads, to corroborate a trafficker's movements; outcomes stated only as aggregates.
Category: Improved Knowledge Discovery
Status: Not assessed
Beneficiary groups: Organizations. People.
Beneficiaries: Not assessed
Reach: Not assessed
Distribution and access: Not assessed
Duration: Not assessed
Expected?: Yes
Costs and harms: Not assessed

Participants: Developer: Marinus Analytics (origin: Carnegie Mellon University undergraduate project). Operator: Raleigh Police Department.
Jurisdictions: Benefit: Raleigh, United States. Developer: United States. Operator: United States.
Ownership and control: Not assessed
Dependencies: Not assessed
Cross-border connections: Not assessed
Geopolitical implications: Not assessed

Conditions for replication: Ads must remain publicly scrapable (Backpage was shut in 2018). Agency access and training.
Replication attempts: Not assessed
Later findings: 16 April 2018. By April 2018 Marinus said Traffic Jam data had led to the rescue of hundreds of victims in the U.S. and Canada and that the software was crawling data from 18 countries.
Availability: Not assessed
Institutional decision: Not assessed
Grounds: Not assessed
Action and result: Not assessed
Success criterion: Not assessed

Assessed benefits: Organizations. People.
Depth: Not assessed
Reasons: Organizations: Raleigh PD officials credit faster linkage of victims and suspects, but no case outcome is documented. People: No individually attributable victim outcome in the sources.
Observed or intended: Not assessed
Rubric: Not assessed
Assessor and date: Not assessed
Alternative assessments: Not assessed
Fill: Independently reported

Kind: Not assessed
Related entries: Not assessed
Field: Anti-trafficking. Government.
Purpose: Mine online sex advertisements (text, phone numbers, facial recognition on images) to help law enforcement find trafficking victims and link cases.
Dates: Date basis unassessed: 2017 (precision unassessed). Updated: 21 October 2026.
Stage: Not assessed
Version: SHA-256: 5501c8eafe79…