Prognosis and Diagnosis Based on Contributing Factors to Safety Risk

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

Transportation

Operational functions

Clinical and medical Derived by keyword rules; see methodology

Problem the AI is intended to solve

To increase expainability and interpretability of changes in safety risk based on contributing factors from and LLM tuned to Human Factors Common Taxonomy.

Expected benefits

Not reported

System outputs

What are the Human Factors Common Taxonomy factors that are associated with a change in safety risk in the NAS.

Technology

AI classification

Other

System name(s)

Not reported

Custom-developed code

No

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)

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

No

Authorization to Operate

Not reported

Demographic features

Not reported

Training and evaluation data

Human Performance Common Taxonomy as collected with the Shared Application for Factor Evaluation (SAFE) tool

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