HHS · no agency ID · record R0876
Machine Learning as a Service: Translate and extract text from images using AI
Department of Health and Human Services · HHS/FDA/ODT
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
- 2022-01 (month precision)Source: Jan-22
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Health and Medical
- Operational functions
- Document processing and extraction, Translation and transcription Derived by keyword rules; see methodology
Problem the AI is intended to solve
This AI project is designed to solve the problem of reviewing foreign products, extracting ingredient lists, and border inspections
Expected benefits
The ability to quickly translate and extract lists of ingredients from foreign food & drug product labels without the need for human translators
System outputs
Translated text into English, in JSON format
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- MLaaS
- Custom-developed code
- Yes
- Public source code
- git.fda.gov ↗
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- Vendor (as reported)
- Precise
- 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
- Yes
- Demographic features
- k) None of the above
- Training and evaluation data
- Makes use of Google Translation Hub
- 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