Project Grant 2532587
- 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...
- 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 $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 $177,306 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will support "RESPONSIBLE, ETHICAL, AND EFFECTIVE ACCEPTABLE USE POLICIES FOR THE INTEGRATION OF GENERATIVE AI IN US SCHOOL DISTRICTS AND BEYOND". The project will convene a Generative AI (GenAI) Working Group comprised of diverse school and district leaders to: Write, adapt, and share sample GenAI Acceptable Use Policies (AUPs) for a range of district contexts. Work with their...
- This $550,000 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of generative artificial intelligence (AI)-powered products that enable humans to interact and converse with books and other documents. The key products being developed include: Technology to represent the informational content of books and document discussions as a knowledge graph, which will then be used to ground large...
- This $400,000 project grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop a systematic framework for visualizing, understanding, and rewriting the learned computations of multimodal generative AI models. The key objectives are to: 1) create new methodologies to visualize the internal mechanisms and hierarchical structures of pre-trained multimodal generative models, 2) explore model...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award provides $594,753 to Cornell University from September 1, 2025 to August 31, 2028 to develop novel methods for precisely controlling the outputs of generative artificial intelligence (AI) systems, such as text-generating chatbots and image creation tools. The research aims to address the critical problem of unpredictable and potentially unsafe outputs from these powerful AI...
- 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...
- 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 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, 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 framework for responsible generative AI development. Key elements include: (1) analyzing licensing inconsistencies and defining AI-relevant copyright interpretations, (2) uncovering memorized copyrighted code using novel prompt engineering techniques, (3) designing watermarking-based tools for identifying and mitigating unauthorized AI-generated code, and (4) 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 outcomes are intended to benefit policymakers, developers, and creators by guiding legal, institutional, and technological interventions that promote ethical AI practices while supporting innovation.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $120.0k | 7/22/25 |