VA Section 508 Office URL Ownership Prediction Model

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

Not reported

Withheld from public reporting

Not reported

Mission

Topic area

Information Technology

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Inaccurate identification of URL ownership for webpages and documents leads to inefficiencies in remediation processes, delays in addressing issues, and gaps in monitoring and reporting. These issues ultimately undermine effective management and compromise the quality of electronic products for Veterans and their beneficiaries.

Expected benefits

The AI system reduces the level of effort and turnaround time for the OIT 508 Office to curate URLs and coordinate with VA Administrations to review and, as necessary, remediate URLs for accessibility compliance. In the absence of the AI system both the 508 Office and VA Administrations would be required to undertake a lengthy and iterative process to identify the VA Administration that is the formal owner of a URL.

System outputs

The AI Model has two outputs. 1) Agency Owner with responses as: VHA, VBA, NCA, VACO, OIT, OCTO, and Unknown. 2) Prediction Score ranging from 0 to 1. The system is comprised of manually executed scripts using the AI model on local GFE. Besides the AI model, the scripts additionally apply manually constructed business rules and create prepopulated excel files for each VA Administration to use for quarterly reviews and data entry.

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)

Not reported

Custom-developed code

No

Public source code

Not reported

Sourcing

How it was built

Developed in-houseSource: b) Developed in-house

Vendor (as reported)

Not reported

Vendors (standardized)

None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

Not reported

Privacy Impact Assessment

Not reported

Authorization to Operate

Not reported

Demographic features

Not reported

Training and evaluation data

Not reported

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.

Potential impacts and how they were identified

Not reported