AI system
- System
-
Spotlight (Thorn), using Amazon Rekognition
- Model
-
Not assessed
- Release
-
Not assessed
- Application developer
-
Thorn (with Amazon Rekognition for face matching)
- Role
-
Not assessed
- Configuration
-
Not assessed
- Inputs and outputs
-
Not assessed
- Autonomy
-
Not assessed
- Workflow
-
A reference photo of the missing child. An archive of scraped escort ads with faces indexed for similarity search. An officer with Spotlight access who follows the matches with investigation.
- Human oversight
-
Not assessed
- Relation to AI
-
The face match that surfaced the ads is attributed to Amazon Rekognition inside Spotlight. The recovery itself came from conventional police work. Everything about this case rests on Thorn's CEO. Snopes documents that Thorn's aggregate figures derive from user surveys and were widely misreported.
- AI contribution
-
The face match that surfaced the ads is attributed to Amazon Rekognition inside Spotlight. The recovery itself came from conventional police work. Everything about this case rests on Thorn's CEO. Snopes documents that Thorn's aggregate figures derive from user surveys and were widely misreported.
Benefits
- Outcome identifiers
-
Not assessed
- Benefit
-
claimed its tools helped identify 5,791 child victims and rescue 103
- Category
-
Reduced Violence
- Status
-
Not assessed
- Beneficiary groups
-
People.
- Beneficiaries
-
Not assessed
- Reach
-
Not assessed
- Distribution and access
-
Not assessed
- Duration
-
Not assessed
- Expected?
-
Yes
- Costs and harms
-
Not assessed
Measurement
- Studies
-
Not assessed
- Study design
-
Not assessed
- Measurement
-
Not assessed
- Setting and sample
-
Not assessed
- Measures
-
claimed its tools helped identify 5,791 child victims and rescue 103
- Comparison
-
Not assessed
- Results
-
claimed its tools helped identify 5,791 child victims and rescue 103
- Additional value from AI
-
Not assessed
- Limitations
-
Not assessed
- Denominators
-
Not assessed
- Materials for replication
-
Not assessed
Money
- Kind of value
-
Not assessed
- Amount
-
Not assessed
- Currency and prices
-
Not assessed
- Period and unit
-
Not assessed
- Realization
-
Not assessed
- Recipients and payers
-
Not assessed
- Gross or net
-
Not assessed
- Included costs
-
Not assessed
- Comparison
-
Not assessed
- Method
-
Not assessed
- Return and payback
-
Not assessed
People and places
- Participants
-
Developer: Thorn (with Amazon Rekognition for face matching). Operator: An unnamed California law enforcement officer and agency.
- Jurisdictions
-
Developer:
United States. - Ownership and control
-
Not assessed
- Dependencies
-
Not assessed
- Cross-border connections
-
Not assessed
- Geopolitical implications
-
Not assessed
Follow-up
- Conditions for replication
-
Ads with usable face images must exist for the victim. Legal access to the ad archive and face matching. Investigative capacity to act on matches quickly.
- Replication attempts
-
Not assessed
- Later findings
-
No later development is established.
- Availability
-
Not assessed
- Institutional decision
-
Not assessed
- Grounds
-
Not assessed
- Action and result
-
Not assessed
- Success criterion
-
Not assessed
Evidence
- Source numbers
-
AIBD-0230-source-0001–0002
- Citations
-
Numbered references below.
- Language
-
Not assessed
- Source relationships
-
Independent
- Original evidence
-
Not assessed
- Access and versions
-
Not assessed
- Supported findings
-
Not assessed
- Evidence links
-
Not assessed
- Evidence strength
-
Not assessed
- Missing evidence
-
Not assessed
Grades
- Assessed benefits
-
People.
- Depth
-
People: 4.
- Reasons
-
People: A child sold for weeks was recovered and removed from trauma, per Thorn's CEO. No independent confirmation of the recovery is among the sources.
- Observed or intended
-
Not assessed
- Rubric
-
Not assessed
- Assessor and date
-
Not assessed
- Alternative assessments
-
Not assessed
- Fill
-
Independently reported
Entry details
- Kind
-
Not assessed
- Related entries
-
Not assessed
- Field
-
Anti-trafficking / child protection. Government.
- Purpose
-
Help law-enforcement investigators find underage sex-trafficking victims by matching faces and text across online escort advertisements.
- Dates
-
Date basis unassessed: 2019 (precision unassessed). Updated: 21 October 2026.
- Stage
-
Not assessed
- Version
-
SHA-256: f171181cd195…
References
- Other identifiers
-
Not assessed
- Category mappings
-
Not assessed
- Brief
-
Not assessed
- Revisions
-
7 revisions. Latest: 21 October 2026.
Sources
-
News report Independent author
Tom Simonite, WIRED, 19 Jun 2019
Using Amazon’s facial recognition technology, Spotlight quickly returned a list of online sex ads featuring the girl’s photo.
-
Other Independent author
Dan MacGuill, Snopes fact check, 4 Sep 2018
As stated by Thorn themselves, the organization's digital tools had helped identify -- not rescue -- almost 6,000 child victims, a distinction that has sometimes been overlooked.
Collections: Security and threat-watching.