STATE · no agency ID · record R3235

StateChat

Department of State · DT

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: 2024-03-04 (day precision)Source: 03/04/2024 00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: Chatbot or virtual assistant, Summarization, Translation and transcription Derived by keyword rules; see methodology

Problem the AI is intended to solve

The need to safely and securely access, share, summarize, and research Sensitive But Unclassified (SBU) Department information. Improve and reduce time to translating documents, summarizing reports, and drafting emails. StateChat is the Department's enterprise Generative AI-powered chatbot.

Expected benefits

Delivers greater operational efficiency and makes personnel better collaborators and competitors on the front lines of diplomacy, delivering decision advantages, negotiation preparation, and preparedness through simulation. Reduced costs and more consistent documents referencing SBU information.

System outputs

StateChat is a chatbot interface enriched with tools that generate formatted paper products, offer rapid and transparent searches of internal documents, and allow for research, synthesis, and drafting of documents with reference to cables and other internal information, policies, and processes.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): CfA PFCS
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported): Palantir, OpenAI
Vendors (standardized): OpenAIPalantir

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: k) None of the above
Training and evaluation data: N/A - There is no training or fine-tuning of the foundational model, but there is ongoing evaluation of the performance of the foundational model.
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