DHS · DHS-2373 · record R1954

CBP Employee Experience

Department of Homeland Security · CBP

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: 2023-10-01 (day precision)Source: 2023-10-01T00:00:00
Withheld from public reporting: Not reported

Mission

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

Problem the AI is intended to solve

Parsing through voluminous amounts of qualitative and quantitative data from recruit/applicant/employee survey data. The technology provides actionable intelligence for senior leaders to better improve the recruit/applicant/employee experience, thereby increasing both yield rates and resiliency.

Expected benefits

CBP Employee Experience is intended to ingest, interpret, and operationalize employee experience data originating from survey results and operational data to deliver real time insights related to the experience of USBP recruits, applicants, and employees. These metrics inform HRM leadership of opportunities for process improvement in order to meet congressionally mandated hiring targets and retain a qualified workforce.

System outputs

Real time insights related to the experience of USBP recruits, applicants, and employees.

Technology

AI classification: Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
System name(s): MASS
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): Medallia
Vendors (standardized): Medallia

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: The platform uses a supervised machine learning model trained on baseline non-governmental data, which is regularly updated and tested for accuracy. CBP can further train the model by correcting sentiment tags, allowing the system to learn from feedback through both hard and soft rules.
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