National Airspace System (NAS) Safety Anomaly Metric with STAD integration (Safety Trend Analytics D

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

2024-10-01 (day precision)Source: 10/01/2024 12:00:00 AM

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Transportation

Operational functions

Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

To measure and monitor the degree of anomaly or deviation from a baseline based on safety data in the National Air Space to the Service Area, district, and facility level.

Expected benefits

Not reported

System outputs

Day look ahead forecast of anomalous/non-anomalous conditions at levels from NAS-wide down to facilities.

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

SysOps performance data, Meteorological Terminal Aviation Routine Weather Report (METAR), Remote Monitoring and Logging System (RMLS), limited staffing data

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