HHS · no agency ID · record R0653

Transcribing Cognitive Interviews with Whisper

Department of Health and Human Services · HHS/CDC

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: 2024-07 (month precision)Source: Jul-24
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Administrative Functions
Operational functions: Translation and transcription Derived by keyword rules; see methodology

Problem the AI is intended to solve

Reducing the time and effort required to transcribe cognitive interviews for federal health survey research, enabling faster and higher-quality analysis of qualitative data.

Expected benefits

The AI system is expected to significantly reduce the hours required for qualitative review by automating transcription, enabling immediate comparison of interview concepts and answers, and providing timestamps for easier reference. This will accelerate research publication and improve the quality of survey questions used in federal surveys.

System outputs

The AI generates transcripts from recorded interviews, which are used by staff for qualitative research in support of federal health survey research.

Technology

AI classification: Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
System name(s): Not reported
Custom-developed code: No
Public source code: Not reported

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
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: No
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: k) None of the above
Training and evaluation data: No agency-owned data was used; publicly available data was used to evaluate performance.
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