DOJ · DOJ-0006 · record R1481

Azure Data Factory

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: 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: 2024-01 (month precision)Source: 01/2024
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

ATF recently enabled Azure Data Factory subscription in Azure, which included smart and intelligent features like anomaly detection, data quality analysis, data completeness, and prediction. While we do not use these features directly, they are embedded within the tools.

Expected benefits

The embedded data analytic and data quality capabilities will increase the efficiency and effectiveness with which ATF is able to locate and analyze our data, and the quality and reliability of the resulting data.

System outputs

Data extraction transformation/load pipelines used to integrate data from disparate datasets

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: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): Microsoft
Vendors (standardized): Microsoft

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: Yes
Demographic features: k) None of the above
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.

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