USDA · USDA-039 · record R1341

Nutrition Education & Local Access Dashboard

Department of Agriculture · Food, Nutrition, and Consumer Services

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: 2023-06-23 (day precision)Source: 6/23/2023
Withheld from public reporting: Not reported

Mission

Topic area: Government Benefits Processing
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

The goal of this dashboard is to provide county-level information on nutrition education and local food access, alongside other metrics related to hunger and nutritional health. This interactive dashboard can provide specific details based on the properties of farm to school intensity and size, program activity intensity, demographics, fresh food access, school size, and program participation. These properties allow users to find similar states based on any of these characteristics, opening up opportunities for partnerships with states they may not have considered.

Expected benefits

Benefits include consolidating related data in one location for informing nutrition programming, and identify potential partners for nutrition programs based on similarities.

System outputs

The model outputs groups of similar counties/states based on the different combinations of properties available for states.

Technology

AI classification: Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s): Tableau
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): Accenture
Vendors (standardized): Accenture

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: Yes
Demographic features: a) Race/Ethnicity
Training and evaluation data: The data is composed of numerical and categorical data describing farm to school intensity and size, program activity intensity, ethnicity and race, fresh food access, school size, and program participation.
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