DOE · DOE-536 · record R3393
Microsoft Azure Authoring Tools
Department of Energy · EMLA - EM Los Alamos Field Site (EM)
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
- AI integrated into the software is solely used to provide a user with assistive functions.
- Start date
- 2023-02-01 (day precision)Source: 2023-02-01T00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Information Technology
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Not reported
Expected benefits
AI was automatically integrated into the product without an identified benefit to the organization.
System outputs
Not reported
Technology
- AI classification
- Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
- System name(s)
- GSS
- Custom-developed code
- No
- Public source code
- Not Available
Sourcing
- How it was built
- Purchased from vendorSource: a) Purchased from a vendor
- Vendor (as reported)
- Microsoft
- Vendors (standardized)
- Microsoft
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
- Not reported
- Training and evaluation data
- Proprietary/unknown data set used for model training.
- 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-safeNot applicableSource: b) Not applicable
Appeal processNot applicableSource: b) Not applicable
User and public consultationReported in placeSource: General solicitations of
comments from the publicFlag: free-text answer
Potential impacts and how they were identified
Unknown, see "Comments" field.