Project Grant W911NF261A092

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...

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...

The National Science Foundation (NSF) awarded $250,000 through its Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the National Academy of Sciences to conduct a workshop and develop a forward-looking research agenda addressing artificial intelligence (AI) security. The award, dated September 1, 2025, with completion by August 31, 2026, supports the National Academies of Sciences, Engineering, and Medicine in convening a workshop under its Forum on Cyber...

The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to New York University (NYU) to investigate the risks of AI-generated code in the software supply chain. The 3-year project, which began on June 1, 2024, aims to: (i) develop techniques to distinguish human-written code from AI-generated code, (ii) measure the prevalence and security implications of AI-generated code in open-source software, and (iii)...

This $200,000 Project Grant award from the National Endowment for the Humanities' Promotion of the Humanities Research program (CFDA 45.161) supports a multi-method, interdisciplinary, and transnational study to explore the role of big tech companies in the advancement of artificial intelligence (AI) and the implications for democracy, governance, and public trust. The research team from the University of Pennsylvania will assess corporate influence over AI strategies through a combination of...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant of $299,486 awarded to George Mason University (Mason) aims to develop a curriculum that helps future cybersecurity professionals adopt an ethical and responsible mindset when working with AI-enabled technologies. The project will create a series of four case studies highlighting social and ethical risks associated with AI systems used for security-related applications, such as...

This $100,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support the planning and development of a proposal to study the risks and benefits of generative AI-based systems for security and privacy. The University of Kansas Center for Research Inc., a non-profit subsidiary of the University of Kansas, will lead this planning effort. The goal is to create a fully realized proposal that addresses...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a learner-centered artificial intelligence (AI) co-pilot tool to crowd-source the curation of comprehensive cybersecurity attack artifacts. The $299,999 award to the Rochester Institute of Technology (RIT) aims to leverage large language models and techniques like prompt engineering to guide users in emulating end-to-end...

This collaborative research project, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), addresses critical safety and robustness challenges in autonomous multi-agent systems. Awarded to The Regents of the University of California, doing business as University of California, Berkeley on August 1, 2025, with a total obligation of $200,000 and a completion date of July 31, 2028, the project delivers research and...

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...