DOJ · DOJ-0197 · record R1634

Informatica - CLAIRE

Department of Justice · Department of Justice / OIG

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: 2019-06 (month precision)Source: 06/2019
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Administrative Functions
Operational functions: Translation and transcription Derived by keyword rules; see methodology

Problem the AI is intended to solve

Manual scanning and cataloging of data sets related to data analytics' mass data correction, business rules translation, data/column similarity, data anomaly detection, data relationship inference, data domain inference, data volume projections, cost of data breach, natural language description of code, business term associations, schema mapping, entity extraction, smart data visualization, and economic value of data.

Expected benefits

Informatica CLAIRE engine will help with cataloging enterprise data quickly, classify and organize OIG data. It will also automate the data curation and connect data across OIG from disparate sources. It will also track data movement from system views to column-level lineage.

System outputs

Provide machine learning-based discovery to scan and catalog data assets across the OIG. Enterprise Data Catalog provides intelligence by leveraging metadata to deliver recommendations, suggestions, and automation of data management tasks.

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): Informatica
Vendors (standardized): Informatica

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