Dun & Bradstreet Business Establishments Data
Department of Justice · Department of Justice / ATF
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
- Presumed high-impact, determined notSource: b) Presumed high-impact, but determined 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
- 2024-01 (month precision)Source: 01/2024
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Procurement and Financial Management
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
The purpose of the AI use case in Dun & Bradstreet Business Establishments Data is to analyze business information, detect irregularities, and assess potential risks more efficiently. AI-driven data integration, anomaly detection, and trend analysis automate what would otherwise be intensive manual evaluations.
Expected benefits
The expected benefit is more targeted attention on atypical organizations, improving efficiency and reducing randomness.
System outputs
The AI features generate risk indicators, show relationships, help focus examination resources.
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)
- Redacted for cybersecurity purposes.
- Custom-developed code
- No
- Public source code
- Not reported
Sourcing
- How it was built
- Purchased from vendorSource: a) Purchased from a vendor
- Vendor (as reported)
- Dun and Bradstreet Holdings Inc.
- Vendors (standardized)
- None on the standard list
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
- Not reported
- Authorization to Operate
- No
- Demographic features
- This AI use case utilizes one or more of the demographic variables listed in compliance with all federal laws and agency regulations.
- Training and evaluation data
- The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.
- 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.
Potential impacts and how they were identified
Not reported