Project Grant 2532590
- This federal Project Grant award of $148,341 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop an objective legal standard for managing harms caused by artificial intelligence (AI). The University of North Texas will lead this collaborative research project from October 1, 2025 through September 30, 2027. The project aims to design a flexible, progressive negligence-based standard that avoids directly...
- This Project Grant award from the National Science Foundation (NSF) under CFDA 47.070 - Computer and Information Science and Engineering is for $395,927 over the period of Sep 1, 2024 to Aug 31, 2027. The award aims to develop theoretical and algorithmic foundations for building a safe and robust human-AI ecosystem, where machine learning (ML) and artificial intelligence (AI) techniques are used in applications involving humans, such as recommendation systems, lending, and healthcare. The key...
- 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...
- This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research at The Ohio State University to develop theoretical and algorithmic foundations for building a safe and reliable human-AI ecosystem. The key objectives are to: 1) create an analytical framework to characterize human-AI interactions and safety components, 2) examine feedback effects between agents and the...
- This federal Project Grant award, provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), seeks to develop novel "metamorphic debugging" techniques to detect and resolve responsibility issues in AI-enabled software solutions before public deployment. The $528,319 award, with a performance period from October 1, 2025 to September 30, 2030, will fund the University of Illinois' research to create methods for...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of South Carolina. The grant, with a period of performance from October 1, 2024 to September 30, 2027, focuses on enhancing security and mitigating harm in AI-generated vision language models. Key technical objectives include: 1) Developing a prompting framework for detecting harmful content provenance in AI-generated vision...
- This $439,425 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports research to enable the safe deployment of learning-enabled systems that can robustly learn and optimize their behavior based on uncertain human feedback and intent. The key objectives are to: (1) develop methods for providing probabilistic performance guarantees when learning policies from human input,...
- This federal Project Grant award of $175,000 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop more reliable and trustworthy question-answering AI systems. The research at the University of California, Merced aims to create AI agents that combine large language models with structured knowledge graphs, reducing errors and improving the reliability of AI outputs in critical domains like healthcare and...
- This $111,984 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support a collaborative research project focused on mapping the state of AI ethics education across diverse higher education institutions in the United States. The project aims to: (a) comprehensively survey current and planned AI ethics education interventions, (b) develop a framework to understand how faculty perceive and conceptualize AI ethics...
- The National Science Foundation (NSF) awarded a $500,000 Project Grant under the Engineering program (CFDA 47.041) to Wayne State University, located in Detroit, Michigan. The goal of this 5-year research project, which commenced on October 1, 2025, is to investigate fundamental limits and algorithmic principles for trustworthy sequential decision-making in artificial intelligence and machine learning (AI/ML) systems, particularly those powered by reinforcement learning. The research focuses...
This Project Grant award of $151,000.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports collaborative research to develop an American legal approach for managing harms caused by artificial intelligence (AI). The objective is to create an objective-fault standard for AI that compares its behavior against an external negligence benchmark, rather than directly regulating business operations. The research will (i) establish the legal foundation for this negligence standard, (ii) develop AI negligence benchmarks for three representative applications, and (iii) evaluate this new standard against the European AI Act. This work aims to provide a distinctly American alternative to the European style of AI regulation, which many experts fear could stifle innovation. The University of Iowa is the prime awardee on this grant, which runs from October 1, 2025 to September 30, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $151.0k | 7/22/25 |