DOT · DOT-1000066 · record R1260

Knowledge Representation for Deep Learning

Department of Transportation · FAA AJO

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: 2024-06-03 (day precision)Source: 06/03/2024 12:00:00 AM
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

The overall purpose of the effort is to establish Knowledge Graph usage to develop Deep Learning, starting with a specific problem statement. The problem statement is to "Enhance the management and resolution of deviation events by providing actionable in

Expected benefits

Not reported

System outputs

1. Diagnostic Insights - Event Analysis: Contributing factors to a deviation, with root cause identification based on historical and real-time data. - Priority Assessment: Highlight of critical issues requiring immediate attention, ranked by severity and

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: - Historical Deviation Logs: Comprehensive records of past Code 80 and related sub-codes events, detailing the conditions, actions taken, and resolutions. These logs help train and evaluate the model's ability to identify patterns and predict future devia
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