Project Grant 2532589
- 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 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...
- The University of North Texas (UNT) was awarded a $463,434 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to establish a three-year Research Experiences for Undergraduates (REU) site focused on making generative artificial intelligence (AI) responsible. Over the award period from June 2025 to May 2028, the REU site will provide 10-week summer research programs for undergraduates to address critical issues...
- 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 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 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 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 University of Texas at Dallas (UTD) received a $499,996 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to establish interactive and integrated training for building high-performance ethical artificial intelligence (AI) systems. The 4-year project, starting on October 1, 2024, will develop three interdisciplinary training programs across philosophy, ethical AI, and high-performance computing (HPC)....
- This $300,000 National Science Foundation project grant supports research at the University of Nebraska-Lincoln to develop artificial intelligence approaches for sequential collective decision-making to address societal challenges. Funded under the Computer and Information Science and Engineering program, the three-year award beginning September 2023 aims to establish theoretical and algorithmic foundations for responsible and equitable AI that makes fair tradeoffs over time across objectives in...
- This $299,977 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop AI-powered approaches to address challenging societal problems in the areas of drought resilience, emissions reduction, and infectious disease response. The overarching goal is to establish theoretical and algorithmic foundations for responsible and equitable AI-powered sequential, collective decision-making. The...
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 interfering with business operations, in contrast to the more prescriptive European approach. The researchers plan to lay the legal foundation for this standard, develop AI negligence benchmarks for three representative applications, and evaluate this American alternative to the European AI regulation. This research seeks to enable continued AI innovation while ensuring accountability for harms.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $148.3k | 7/22/25 |