DOE · DOE-444 · record R3322
Copilot Studio
Department of Energy · ORNL - Oak Ridge National Laboratory (SC43 OIM)
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
- Doesn't meet criteria.
- Start date
- 2024-03-11 (day precision)Source: 2024-03-11T00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Information Technology
- Operational functions
- Software development assistance Derived by keyword rules; see methodology
Problem the AI is intended to solve
Enhancing day to day processes.
Expected benefits
1) Enhancing employee productivity and efficiency.
System outputs
Customization Low-Code Development GPT-Based Capabilities Analytics Entities and Variables
Technology
- AI classification
- Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
- System name(s)
- Cloud Enclave
- Custom-developed code
- No
- Public source code
- Not reported
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
- Yes
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Yes
- Demographic features
- Not reported
- Training and evaluation data
- Not reported
- Federal Data Catalog
- no
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 placeSource: a) Yes
Independent reviewReported in placeSource: a) Yes – by another appropriate agency office or reviewer not directly involved in the AI’s development
Ongoing monitoringReported in progressSource: b) Development of monitoring protocols is in-progress
Operator trainingReported in placeSource: a) Yes, sufficient and periodic training has been established
Fail-safeReported in placeSource: a) Yes
Appeal processNot applicableSource: b) Not applicable
User and public consultationOther or ambiguous answerSource: d) Other
Potential impacts and how they were identified
None Identified