TREAS · 34 · record R2766

Research Suitability

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 assigns ratings to research papers and is a solely internal analytical task.
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

The AI is intended to reduce the manual workload involved in reviewing and scoring materials used for symposiums. Evaluators currently spend considerable time assessing relevance, quality, and technical rigor. The AI helps streamline this process by providing an initial, consistent rating that supports quicker filtering and prioritization.

Expected benefits

By speeding up the presentation reference material selection process, the AI allows subject-matter experts to focus on deeper evaluation rather than preliminary screening. This improves efficiency and helps ensure that high-quality, policy-relevant research is highlighted for symposiums, ultimately supporting better-informed supervisory and regulatory perspectives that benefit the broader financial system and the public.

System outputs

The system generates a rating or score for each material artifact, along with brief reasoning based on relevance, technical execution, and alignment with the symposium’s thematic criteria. These outputs act as a first-level filter to support reviewers in identifying papers that merit further consideration.

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