FTC · FTC-0005 · record R3150

Graph Analytics

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

Assist with identifying connections between complaints as consumers may file same type of complaints against a company but with different names, phone numbers or when company use different names, aliases, phone numbers. It helps with grouping the complaints for further review and analysis.

Expected benefits

Helps law enforcement to explore and identify relationships and connections between complaints.

System outputs

Displaying relationships between complaints and find connections between complaints.

Technology

AI classification: Other
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