RAP opportunity at Air Force Science and Technology Fellowship Program AF STFP
Trust in Machine Learning and Artificial Intelligence
Location
711th Human Performance Wing, RHW/Adaptive Warfighter Interfaces Group
| opportunity |
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.
key words
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 |
|
| $95,000.00 |
$5,000.00 |
|
Experience Supplement
Postdoctoral and Senior awardees will receive an appropriately higher stipend based on the number of years of experience past their PhD.
|
Additional Benefits
Relocation
Awardees who reside more than 50 miles from their host laboratory and remain on tenure for at least six months are eligible for paid relocation to within the vicinity of their host laboratory.
Health insurance
A group health insurance program is available to awardees and their qualifying dependents in the United States.