Project Grant N629092412047

The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $299,905 Project Grant to Loyola University of Chicago to develop and evaluate a comprehensive 12-workshop experiential training program to raise awareness among AI practitioners of the cybersecurity and privacy risks associated with building AI-based systems. The project aims to provide knowledge and skills needed to build AI systems that are secure, ethical, and privacy-preserving. The workshop...

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 $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a collaborative research effort between Oakland University and Worcester Polytechnic Institute. The goal is to increase awareness and promote broader adoption of the National AI Research Resource (NAIRR) pilot, which provides U.S. researchers with access to high-performance computing, data, and AI tools. The project will organize...

This federal Project Grant award for $464,781 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) aims to encourage ten talented undergraduate students per year to pursue graduate study and research careers in trustworthy artificial intelligence (AI). The award provides an immersive summer research experience for students, focused on exploring different aspects of trustworthy AI including robustness, fairness, explainability,...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $309,407 to Virginia Polytechnic Institute & State University (Virginia Tech) to develop a framework for ensuring the safety and trustworthy deployment of generative artificial intelligence (AI) foundation models, particularly large language models. The project will pursue three key tasks: 1) Conduct in-depth analysis to identify root...

This $962,930 Project Grant award from the National Institute of Standards and Technology (NIST) under the Congressionally-Identified Projects program (CFDA 11.617) supports research at the University of Texas at Dallas (UTD) to address challenges in the reliability, security, and privacy of AI models, particularly in healthcare applications. The key activities include: Developing techniques to evaluate prompts and detect harmful or malicious use of large language models (LLMs) Investigating...

This $500,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to advance trustworthy artificial intelligence and machine learning (AI/ML), particularly in reinforcement learning (RL) systems used in critical applications like healthcare, education, and commerce. The research focuses on four key thrusts: (1) developing theoretical results for private RL, (2) investigating the interplay between robustness and privacy, (3) creating a framework...

The National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) awarded a $300,000 Project Grant to Carnegie Mellon University to conduct research on responsible artificial intelligence (AI) practices across the transportation sector. The two-year grant, starting October 1, 2024, will fund a multi-disciplinary research team to: Perform a comparative analysis of how AI is used and regulated across different transportation modes (taxi, transit, and...

This $149,951 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to increase awareness and promote broader adoption of the National AI Research Resource (NAIRR) pilot. The project, a collaboration between Oakland University and Worcester Polytechnic Institute (WPI), will organize two 12-workshop series over two years to provide hands-on training for emerging researchers on utilizing NAIRR's...

The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to Arizona State University (ASU) to develop TrustSAS, an innovative AI/ML-powered trustworthy Spectrum Access System (SAS). The key products and services to be delivered through this 3-year grant include: 1) VERISS, a framework that uses graphical neural networks to analyze and evaluate the trustworthiness of crowdsourced spectrum sensing data; 2)...