DHS · DHS-2556 · record R1910

AI-Assisted Resume Screening Tool

Department of Homeland Security · ICE

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: High-impactSource: a) High-impact
Impact justification: Not reported
Start date: 2026-01-01 (day precision)Source: 2026-01-01T00:00:00
Withheld from public reporting: Not reported

Mission

Topic area: Human Resources
Operational functions: HR and workforce Derived by keyword rules; see methodology

Problem the AI is intended to solve

This use case intends to solve the problem of human bias during resume reviews and the time-intensive process of reviewing candidate resumes.

Expected benefits

This solution applies the same review criteria to every candidate’s resume. This reduces human cognitive bias and variability in how HR specialists evaluate candidate resumes. Additionally, this solution speeds up the time-to-hire by reducing the amount of time spent conducting manual candidate resume reviews.

System outputs

The evaluation model compares each resume against the associated job requirements and provides a numerical score, a scoring group (red, yellow, green, or blue), related experience, and missing experience. The scoring group categorizes candidates based on the percentage of matching experience, with red indicating a weak candidate, yellow indicating moderate alignment, green indicating a strong candidate, and blue indicating that the system was unable to score the resume due to issues such as missing documents.

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: No
Public source code: Not reported

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): AIS
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: Yes
Privacy Impact Assessment: www.dhs.gov ↗
Authorization to Operate: No
Demographic features: Not reported
Training and evaluation data: OpenAI's GPT-4 is trained on common crawl and publicly available data. ICE does not provide any training data and uses the pre-trained base models as is. Pre-trained models used do not require training data. Human-evaluated resumes are compared to tool output for validation. Production data will be candidate resumes.
Federal Data Catalog: Not reported

Governance

8 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingReported in progressSource: b) In-progress

AI impact assessmentReported in progressSource: b) In-progress

Independent reviewReported in progressSource: d) In-progress

Ongoing monitoringReported in progressSource: b) Development of monitoring protocols is in-progress

Operator trainingReported in progressSource: b) Establishment of sufficient and periodic training is in-progress

Fail-safeReported in progressSource: c) In-progress

Appeal processReported in progressSource: c) Establishment of an appropriate appeal process is in-progress

User and public consultationReported in progressSource: Establishment of an appropriate appeal process is in-progress

Potential impacts and how they were identified

In-Progress - potential impacts will be identified during AI Impact Assessment.