NRC Research Associate Programs
Fellowships Office
Policy and Global Affairs

Participating Agencies

Opportunity at National Institute of Standards and Technology   NIST

Explainable Artificial Intelligence

Location

Information Technology Laboratory, Software and Systems Division

opportunity location
50.77.51.C0802 Gaithersburg, MD

Please note: This Agency only participates in the February and August reviews.

Advisers

name email phone
Peter Bajcsy peter.bajcsy@nist.gov 301.975.2958

Description

As of today, there is a plethora of cyber-physical instruments consisting of physical sensing (e.g., microscopy imaging) and cyber (digital) Artificial Intelligence (AI)-based predictions. These instruments raise concerns about safety because they rely on black-box AI models and do not contain any guardrails if physical and/or digital parts of the instrument fail or are attacked by an adversary. We would like to address the safety concerns by researching a metrology for establishing digital references [2], safety zones (boundaries), validation methods for AI risk management, and baselines for traceability of physical and digital parts of AI-enabled instruments [1]. Our research is applied to instruments used in regenerative medicine and cancer research [3]. 

[1] OpenAI Microscope, a collection of visualizations of every significant layer and neuron of 13 important vision models, URL

[2] Peter Bajcsy et al., “AI Model Utilization Measurements For Finding Class Encoding Patterns”, arXiv, Dec. 2022, URL

[3] Nicholas J. Schaub et al., “Deep learning predicts function of live retinal pigment epithelium from quantitative microscopy,” Journal of Clinical Investigation. November 14, 2019. DOI

key words
Artificial Intelligence; Computer Vision; Confidence Estimation;

Eligibility

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

Stipend

Base Stipend Travel Allotment Supplementation
$82,764.00 $3,000.00
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