Certified Professional Controller (CPC) On-Board Success Evaluator
CPC Outlook Generator (COG) is a front end Graphical User Interface built to interact with a data model called CPC Onboarding Success Evaluator (COSE), a machine learning model ca…
Automated Delay detection using voice processing
AI-based voice recognition of Air Traffic Control (ATC) and pilot communications associated with a flight is required for enhanced and accurate delay reporting and attribution. M…
Technical Operations Predictive Maintenance
"Utilize equipment telemetry data, statistical modeling and Machine Learning to predict equipment failures before they occur. This will improve operational efficiency and safety…
Airborne Safety Metric (ASM)
The use of AI modeling can categorize the types of events based on the information provided in the accident and incident report and its result will support the safety metric calcu…
Surface Safety Metric (SSM)
Automated review of accident narratives.
Surface Report Classifiier (SCM/Auto-Class)
To classify surface Mandatory Occurrence Reports (MORs) to reduce the amount of manual event review.
Pilot-Controller Voice to Text Transcription
To transcribe recorded radio communications between pilots and air traffic controllers operating within the national airspace.
Detection of Unmanned Aircraft Systems (UAS) Encounter
Unmanned Aircraft Systems (UAS) are a source of potential safety risk. Manual data exploration by a human is labor and time consuming. Automatic data mining can help to identify…
Human Performance Taxonomy labeling
to label radio communication transcripts according to the HP Taxonomy labeling system.
Integration of small Unmanned Aircraft System (sUAS) Geospacial Information System (GIS) Technologie
This use case will be used to enable new methods and tools that support the maintenance of life cycle of National Airpsace System (NAS) infrastructure.
Surface Safety Metric (DOT Key Performance Indicator)
Creating weighting scheme values based on safety data for measuring and monitoring safety risk in the National Air Space. The weights are used to generate safety indices for surfa…
Power Platform Use
Speeds up the development of code structure.
Tech Ops LLM Document Search
The AI system designed for Tech-Ops personnel is a comprehensive support tool that enhances efficiency by providing rapid, contextually accurate answers drawn from a central Knowl…
Spectrum Assignment & Engineering Team LLM Document Search
Intended purpose: To make the user experience of end users more easy and interactive and engaging. Benefits: Increased customer satisfaction of FAA's coordination systems' users
FAA Orders and associated supplemental change notices LLM Document Search
The intended purpose of the AI chatbot is to streamline the retrieval of information from multiple FAA Orders and change notices. The expected benefits include saving time, improv…
Remote Maintenance Monitoring (RMM) Analyzer Copilot
The intended purpose of the AI is to serve as a "Copilot" for technical operations, allowing users to interact with complex data in plain language. This Copilot will retrieve, int…
National Airspace System (NAS) Safety Anomaly Metric with STAD integration (Safety Trend Analytics D
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.
Using Generative AI to Automatically Tag Narratives with Human Performace Common Taxonomy Factors
Using genAI, automatically tag text narratives from Comprehensive Electronic Data Analysis and Reporting (CEDAR) Mandatory Occurrence Reports (MOR's) with factors from Human Perfo…
Generative AI Use Case from Inventory
This use case will be used increase trust in new technology approach through this socialzation exercise. And increase buy-in and education of stakeholders with a useful product fr…
Human Performance (HP) Fatigue Recommendations
This use case will be used to develop and understanding of HP Fatigue recommendations and ties to safety risk.
Prognosis and Diagnosis Based on Contributing Factors to Safety Risk
To increase expainability and interpretability of changes in safety risk based on contributing factors from and LLM tuned to Human Factors Common Taxonomy.
Knowledge Representation for Deep Learning
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…