SSA · no agency ID · record R3114

Data Governance Product (DGP) - Data cataloging and predictive analysis of data assets.

Social Security Administration · Chief Information Officer

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: Not reported
Start date: 2014-11-01 (day precision)Source: 11/1/2014 0:00
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

Vendor built in AI engine for data cataloging to automates the discovery, classification, and curation of data assets. And also provides predictive insights for data asset analytics. Uses Natural Language Processing (NLP) enables non-technical stakeholders to contribute to rule creation and facilitates the conversion of plain text into regular expression.

Expected benefits

1. Reduced manual effort in assigning Business Terms to data assets in the Technical data catalog. 2. Reduced effort and time through generation of data quality rule code.

System outputs

Efficient data catalog search results. Plain English conversation with the users to create technical regular expression rule creation

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Enterprise Data Catalog
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: No
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: Not reported
Training and evaluation data: No Agency data used for training
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