OMB Individually Reported
Implement machine learning in NMIS to assist with mishap coding
Low riskExact public inventory row
Description
Leverage Machine Learning to train computers to review mishap and close call data in NMIS to suggest event coding characteristics to help mishap program managers classify events more efficiently.
Detailed example
Suggested mishap findings and mishap event classifications.
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
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Reduce manual work, increase time and efficiency, and free up skilled subject matter experts for more complex tasks.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Mishap event data, finding data, corrective action data, mishap classification data