Project Grant FA95502310258

The National Science Foundation (NSF) awarded a $270,000 EAGER (Early-Concept Grants for Exploratory Research) grant to the Massachusetts Institute of Technology (MIT) to develop an Artificial Intelligence (AI) or Large Language Model (LLM)-powered conversational tutoring system for Quantum Information Science and Engineering (QISE). The project, titled "TRUSTWORTHY AND ETHICAL AI TUTORS WITH FIRST-PRINCIPLES/AXIOMATIC REASONING", aims to create an interpretable AI tutor, called...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will provide $198,000 to the Regents of the University of Minnesota to develop a trustworthy machine learning framework for augmenting clinical review of electroencephalograms (EEGs). The goal is to create reliable and scalable AI-based solutions to ease the burden of expert EEG review and reduce reviewer bias and errors in clinical decisions,...

This Project Grant award from the National Science Foundation's (NSF) Engineering Program (CFDA 47.041) supports a collaborative research project led by Emory University to develop an interactive artificial intelligence (AI) teammate system for upskilling mental health workers. The $548,297 award aims to understand how AI can be effectively and ethically integrated into mental health work to address the shortage of skilled workers and improve access to research-supported treatment protocols. The...

The Department of the Air Force Materiel Command Research Laboratory awarded a $100,000 Project Grant under the Air Force Defense Research Sciences Program (CFDA 12.800) to the Regents of the University of California, doing business as the University of California, Berkeley, for the period of September 29, 2021 to September 28, 2022. The grant funds the development of an extendable bi-directional model of human-AI trust for joint action. Specifically, the University of California, Berkeley...

The Trustees of Stevens Institute of Technology received a $200,000 project grant award from the National Science Foundation under the Engineering Research Initiation (ERI) program (CFDA 47.041). The grant will fund research from July 1, 2023 through June 30, 2025 to develop a trust-supporting design framework for improving human-artificial intelligence collaboration. Specifically, the research will examine the role of affect in user trust development during interactions with conversational AI...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) grant award, with the CFDA number 47.070, provides $334,794 to Michigan State University to investigate strategies for calibrating user trust in generative AI (GenAI) chatbots. The goal is to find ways to reduce unfounded cognitive heuristics that can lead users to over-trust GenAI systems, potentially resulting in unsafe disclosures of personal information. The project will involve focus groups and...

The National Science Foundation (NSF) Directorate for Engineering awarded the University of Pittsburgh a 3-year, $350,000 Project Grant to develop an innovative closed-loop brain-computer interface (BCI) system for use in exposure therapy for socially fearful teenagers with depression and anxiety. The proposed technology synchronizes electroencephalogram (EEG) monitoring with augmented reality (AR) simulations of social fear scenarios, enabling real-time detection of fearful responses and...

This $801,660 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to Georgia Tech Research Corporation ("Georgia Tech") aims to develop an interactive artificial intelligence (AI) system called the "Trustworthy, Explainable, and Adaptive Monitoring Machine for AI Teams" (TEAMMAIT). This system is intended to help upskill the mental health workforce by providing individualized, real-time feedback to clinicians on their use...

This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $175,000 to the University of California, Merced to advance trustworthy artificial intelligence (AI) systems. The project develops novel computational methods that integrate large language models with structured knowledge graphs, enabling AI systems to provide more reliable and factually accurate responses, particularly in high-stakes domains like...

This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $300,353 to the University of Wyoming to develop novel user authentication algorithms using electroencephalography (EEG) signals for augmented reality (AR) and virtual reality (VR) systems. The goal is to create secure, lightweight, and user-friendly authentication methods that seamlessly integrate into immersive environments and address the...