TREAS · 15 · record R2754

Training Content Generation

Department of the Treasury · Office of the Comptroller of the Currency (OCC)

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: This use case supports training and learning activities and does not make decisions that affect rights, access to services, or other outcomes listed in the high-impact criteria.
Start date: Not reported
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

Developing training materials for supervisory topics requires subject-matter expertise and significant staff time to research concepts, draft explanations, create examples, and format content for instructional use. This manual process can slow down the production of new or updated training modules. The AI is intended to automate portions of content creation by generating draft educational materials, helping training teams produce high-quality instructional content more efficiently.

Expected benefits

The AI improves the speed and consistency of training content development, enabling staff to more quickly access updated and comprehensive learning materials. This strengthens the agency’s mission by enhancing examiner competency, improving knowledge transfer, and supporting more effective supervision. Ultimately, the public benefits from better-trained examiners who can more effectively identify and address risks within financial institutions.

System outputs

The AI will generate draft training materials such as lesson summaries, topic explanations, examples, practice questions, and structured learning modules aligned to credit training objectives. These outputs serve as a starting point for training teams, who review, edit, and validate all content to ensure accuracy, clarity, and alignment with agency standards.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
Vendor (as reported): Not reported
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: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
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