Aircraft Landing Location Predictor (KESTREL)
Description
Monitoring activities in the air and maritime domains to identify unusual patterns or behaviors.
Detailed example
The output provides a visual representation of the top three potential locations, using color-coded indicators to show the likelihood of each outcome.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The system analyzes potential landing locations for aircraft to support response planning and preparation.
Audit / financial statement impact
The AI predicts aircraft landing locations. The AI outputs do not produce an action or serve as a principal basis for a decision that has the potential to significantly impact the safety of human-life or well-being, climate or environment, critical infrastructure, or strategic assets or resources. The AI outputs do not serve as a principal basis for a decision or action concerning a specific individual or entity that has a legal, material, binding, or similarly significant effect on that individual’s or entity’s civil rights, civil liberties or privacy, equal opportunities, or access to or the ability to apply for critical government resources or services.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Data is provided from a surveillance system in the form of real-time messages on detected tracks within the system.