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Opportunity at Air Force Research Laboratory (AFRL)

Trust in Machine Learning and Artificial Intelligence

Location

Airman Systems Directorate, RHW/Adaptive Warfighter Interfaces Group

RO# Location
13.15.14.C0731 Wright-Patterson AFB, OH 45433

Advisers

name email phone
Gene Michael Alarcon gene.alarcon.1@us.af.mil 937-713-5417

Description

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.

Keywords:
Machine Learning; Trust; Artificial Intelligence; Explainable AI

Eligibility

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

Stipend

Base Stipend Travel Allotment Supplementation
$76,542.00 $4,000.00

$3,000 Supplement for Doctorates in Engineering & Computer Science

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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