Presenting/providing technical assistance on HIV.gov's cautious & transparent use of generative AI

Section 1: Use Case Identifiers

Use Case ID: HHS-OASH-00003
Agency: HHS
Op Div/Staff Div: OASH
Use Case Topic Area: Education & Workforce
Is the AI use case found in the below list of general commercial AI products and services?
None of the above.
What is the intended purpose and expected benefits of the AI?
OIDP's HIV.gov hosts generative AI workshops, 1-on-1 trainings, and limited generative AI labs to share our cautious and transparent use of generative AI to create communications content. These activities also include information on generative AI basics and information on federal guidance. Our limited AI-generated content is disclosed with a watermark or a tag saying, "Created by AI, Reviewed By Humans." These trainings have occurred at 5 national HIV-related conferences and include multiple 1-1 training sessions and workshops that reinforce the importance of following best practices, being transparent, and being cautious. We have trained over 500 people on the cautious and transparent use of generative AI.
Describe the AI system's outputs.
These offerings help our audiences understand the importance of cautious and transparent use, federal resources, and additionally promote information about our office's HIV programs.
Stage of Development: Operation and Maintenance
Is the AI use case rights-impacting, safety-impacting, both, or neither?
Neither

Section 2: Use Case Summary

Date Initiated: 03/2023
Date when Acquisition and/or Development began: 03/2023
Date Implemented: 03/2023
Date Retired: N/A
Was the AI system involved in this use case developed (or is it to be developed) under contract(s) or in-house?
Developed with both contracting and in-house resources.
Provide the Procurement Instrument Identifier(s) (PIID) of the contract(s) used.
N/A
Is this AI use case supporting a High-Impact Service Provider (HISP) public-facing service?
N/A
Does this AI use case disseminate information to the public?
No
How is the agency ensuring compliance with Information Quality Act guidelines, if applicable?
N/A
Does this AI use case involve personally identifiable information (PII) that is maintained by the agency?
No
Has the Senior Agency Official for Privacy (SAOP) assessed the privacy risks associated with this AI use case?
ongoing

Section 3: Data and Code

Do you have access to an enterprise data catalog or agency-wide data repository that enables you to identify whether or not the necessary datasets exist and are ready to develop your use case?
No
Describe any agency-owned data used to train, fine-tune, and/or evaluate performance of the model(s) used in this use case.
N/A
Is there available documentation for the model training and evaluation data that demonstrates the degree to which it is appropriate to be used in analysis or for making predictions?
Documentation is widely available
Which, if any, demographic variables does the AI use case explicitly use as model features?
N/A
Does this project include custom-developed code?
No
If the code is open-source, provide the link for the publicly available source code.
N/A

Section 4: AI Enablement and Infrastructure

Does this AI use case have an associated Authority to Operate (ATO) for an AI system?
No
System Name: N/A
How long have you waited for the necessary developer tools to implement the AI use case?
Less than 6 months
For this AI use case, is the required IT infrastructure provisioned via a centralized intake form or process inside the agency?
No
Do you have a process in place to request access to computing resources for model training and development of the AI involved in this use case?
Yes
Has communication regarding the provisioning of your requested resources been timely?
Yes
How are existing data science tools, libraries, data products, and internally-developed AI infrastructure being re-used for the current AI use case?
None
Has information regarding the AI use case, including performance metrics and intended use of the model, been made available for review and feedback within the agency?
Documentation has been developed