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RAP opportunity at Air Force Science and Technology Fellowship Program     AF STFP

Trust in Machine Learning and Artificial Intelligence


711th Human Performance Wing, RHW/Adaptive Warfighter Interfaces Group

opportunity location
13.15.14.C0731 Wright-Patterson AFB, OH 45433


name email phone
Gene Michael Alarcon 937-713-5417


The fields of Artificial Intelligence (AI) and Machine Learning (ML) are poised to revolutionize the scale, efficiency, and complexity of Department of Defense (DoD) operations. However, when considering the impact of a failure in an automated DoD application, it becomes clear that there is a need for AI and ML systems that can be trusted. One way to build trust is through AI/ML models that have increased transparency in their underlying processes and performance. In this work we address research on explainable artificial intelligence (XAI) and machine learning that fails predictably (i.e., more accurate confidence intervals) to understand the effects of transparency of process and performance, respectively. The research conducted under this project will focus on the user psychological perceptions of new XAI and predictable failure algorithms.

key words
Machine Learning; Trust; Artificial Intelligence; Explainable AI


Citizenship:  Open to U.S. citizens
Level:  Open to Postdoctoral and Senior applicants


Base Stipend Travel Allotment Supplementation
$95,000.00 $5,000.00

Experience Supplement:
Postdoctoral and Senior Associates will receive an appropriately higher stipend based on the number of years of experience past their PhD.

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