FTC · FTC-0002 · record R3147
Group Duplicate Complaints
Federal Trade Commission · BCP/DCRO
Overview
- Development stage
- DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
- Start date
- 2019 (year precision)
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Law Enforcement
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Consumers submit multiple complaints for the same issue using various channels, which impacts the ability of Law Enforcement to quickly search and identify leads.
Expected benefits
Assists law enforcement with identifying leads in fraud investigations by efficiently grouping duplicate complaints.
System outputs
Duplicated complaints are grouped together and helps law enforcement identify entities with multiple reports
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- Sentinel Network Services
- Custom-developed code
- Yes
- Public source code
- Not reported
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- Vendor (as reported)
- Leidos
- Vendors (standardized)
- Leidos
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- Yes
- Privacy Impact Assessment
- www.ftc.gov ↗
- Authorization to Operate
- Yes
- Demographic features
- Not reported
- Training and evaluation data
- Not reported
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported
Potential impacts and how they were identified
Not reported