DFWED Food Vehicle Investigation Module

Section 1: Use Case Identifiers

Use Case ID: HHS-CDC-00041

Agency: HHS

Op Div/Staff Div: CDC

Use Case Topic Area: Mission-Enabling (internal agency support)

Is the AI use case found in the below list of general commercial AI products and services?

None of the above.

Describe the AI system’s outputs.

NLP and Food Vehicle Investigation Module (FVIM) uses language learning models and Text Classification Tools to identify potential vehicles. NLP tool uses text classification to provide probabilities that a food is associated with the outbreak based on reports in the SEDRIC line list. FVIM identifies past outbreak with similar key demographic and temporal characteristics to the selected outbreak to guide hypothesis generation. FVIM analyses reported food exposures uploaded to the SEDRIC line list and categorizes responses into food commodity types that are then compared to FoodNet Population survey results weighted by age, sex and ethnicity and generates a statistical comparison

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: 07/2022

Date when Acquisition and/or Development began: 07/2022

Date Implemented: 05/2023

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 in-house.

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?

Yes

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.

Data are used in outbreak/response scenarios, such as foodborne illness outbreak response. Data used is dependent on the situation and outbreak, and may be owned by CDC, FDA, USDA, State Health Departments, Tribal Health Departments, Local Health Departments, Territorial Health Departments, or other entities.

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 missing or not 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?

Yes

Does the agency have access to the code associated with the AI use case?

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?

Yes

System Name: 1 CDC Data Platform (1CDP)

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?

Yes

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?

Use of existing data platforms

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?

Limited documentation for review