TREAS · TREAS-IRS-79 · record R2856

Resume Ranking Engine

Department of the Treasury · Internal Revenue Service (IRS)

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: The output is not presumed to be high-impact and is not used as the principal basis for significant decisions/actions
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Administrative Functions
Operational functions: HR and workforce Derived by keyword rules; see methodology

Problem the AI is intended to solve

Career alignment problem by bridging the gap between employees and job opportunities. Employees struggle to understand how well their resume aligns with specific job roles. AI will help to analyze the resume and job descriptions automatically. Rank roles by fit score so employees can know where to focus. Highlight gaps in skills or experience with actionable suggestions. Provide section by section scoring so the employee will know exactly what needs improvement.

Expected benefits

Increased efficiency, higher accuracy, transparency, equity and career growth.

System outputs

Ranked list of roles, Section level scores, Skill gap list, Actionable suggestions, JavaScript Object Notation (JSON) payload and exportable Portable Document Format (PDF) report

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