Site Audit AI Support (SAAIS) App

Overview

Development stage

In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

Not reported

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Service Delivery

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

NIOSH conducts numerous post-market activities to ensure that respirator configurations approved by NIOSH remain protective. Among these activities are audits of the manufacturing sites where the approved products are produced. These audits involved detailed evaluations of sites against quality assurance plans approved by NIOSH. Site are audited every few years and, thus, previous reports of nonconformances may be of particular interest to auditors. SAAIS is a prototype application being developed as an AI use case to inform: 1. CDC Office of the Chief Information Officer (OCIO)’s implementation strategy for cloud-based enterprise services standalone AI tools and AI-enhanced systems 2. The specific enterprise approach, AI tools, and training techniques to be used by Respirator Approval System (RAS) developers when AI enhancements are eventually added following the completion of the base system within the Power Platform enterprise system.

Expected benefits

Reduced time and errors and greater consistency related to audits of manufacturing sites used to produce NIOSH Approved respirators.

System outputs

Four versions of the NPPTL App were developed, each introducing incremental features to enhance its functionality. Details are available upon request. Capabilities currently include: Drag-and-drop file uploads Multiple file uploads Clear navigation and guidance Download options for AI outputs Connection of evidence to CAR items Classification of non-conformances Support for Excel and email file uploads Enhanced feedback mechanisms and reporting features.

Technology

AI classification

Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.

System name(s)

Not reported

Custom-developed code

Not reported

Public source code

Not reported

Sourcing

How it was built

Not reported

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