Project Grant 2532588
- This Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), is focused on developing new tools, legal insights, and accountability models to ensure that generative artificial intelligence (AI) can advance responsibly while respecting copyright, licensing norms, and user rights. The $120,000 project, to be completed between October 1, 2025 and September 30, 2027, will contribute a comprehensive...
- 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)...
- The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
- This National Science Foundation (NSF) Project Grant award under the STEM Education (CFDA 47.076) program provides $210,000.00 to develop a lab-based curriculum and open-source platform for training students, the current workforce, and policymakers on watermarking techniques to detect AI-generated content. The objective is to bridge the education gap on this emerging technology, which is critical for addressing societal and legal concerns around the potential misuse of generative AI. The...
- This Project Grant award of $120,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research to advance the mathematical foundations of generative artificial intelligence (AI) models, particularly diffusion models. The award enables researchers at the University of Missouri System to develop new theoretical tools to elucidate how flow-based generative models produce novel outputs and extend these models to...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program awarded $600,000.00 to the Rector & Visitors of the University of Virginia (CFDA #47.070) for the project "RI:SMALL:CONSTRAINED GENERATIVE MODELS FOR SCIENTIFIC AND ENGINEERING APPLICATIONS". This 3-year project, with an award date of October 1, 2025 and a completion date of September 30, 2028, aims to develop AI tools that integrate physical principles and safety...
- This federal Project Grant award, valued at $450,000.00 and awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to address fundamental computational and statistical limitations of generative artificial intelligence (AI) methods. The key goals of the project are: Determine the capabilities and limitations of generative AI algorithms in terms of the types of probability distributions they can and cannot generate....
- This $400,000 Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program. The project aims to develop a systematic framework for visualizing, understanding, and rewriting the learned computations of multimodal generative AI models, in order to increase the accountable and safe use of these advanced AI systems and mitigate potential harms. The key research thrusts involve: 1) new...
- The National Science Foundation (NSF) has awarded a $250,000 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to the National Academy of Sciences (NAS) to conduct a workshop and produce an issue paper that will outline a forward-looking research agenda for securing artificial intelligence (AI) systems. This foundational work aims to systematically assess current and emerging threats to AI systems, as well as the risks introduced by their...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) has awarded the University of Massachusetts Amherst a $474,083 Project Grant for the period of July 1, 2025 to June 30, 2030. This grant aims to develop embodied generalist AI agents capable of perceiving, reasoning, and interacting effectively with both the physical world and other agents in dynamic, evolving environments. The key technical objectives include: (1)...
The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program has awarded a $180,000 Project Grant to the Trustees of Tufts College for the project "COLLABORATIVE RESEARCH: EAGER: FDASS: PROTECT INTELLECTUAL PROPERTY OF SOFTWARE CODE IN THE AGE OF GENERATIVE AI." This award aims to develop new tools, legal insights, and accountability models to ensure that generative AI can advance responsibly while respecting copyright, licensing norms, and user rights. The key focus areas include analyzing licensing inconsistencies, uncovering memorized copyrighted code, designing watermarking-based tools for identifying and mitigating unauthorized AI-generated code, and developing a practical measure of accountability for generative AI in software development. The project will also propose institutional frameworks including licensing, consent, and revenue-sharing strategies. The award duration is from October 1, 2025 to September 30, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $180.0k | 7/22/25 |