Project Grant 60NANB24D143
Award Date
10/1/24
Completion Date
9/30/26
Dollars Obligated
$963K
Federal Agency
National Institute of Standards and Technology
Federal Grant Program
11.617
Assistance Type
Project Grant
Place of Performance
Richardson, TX 75080, USA
Similar Awards
This Project Grant award, valued at $348,227.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The award aims to improve the scalability and effectiveness of healthcare-focused large language models (LLMs) by developing methods to evaluate and mitigate issues with incomplete data. The key products and services to be delivered include: An evaluation framework to address factual and faithfulness...
This $348,757 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to quantify social and affective cognition in humans and machines. The project aims to define objective measures for assessing the emotional understanding capabilities of large language models used in AI chatbots, in order to enable the development of more capable and safer conversational AI systems. Key aspects include...
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 Project Grant award of $334,794.00 from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports research by Michigan State University to investigate strategies for ensuring user trust in generative AI (GenAI) chatbots. The key objectives of the 5-year project are to: 1) identify the cognitive heuristics and cues that guide user interactions with GenAI chatbots, 2) empirically test these heuristics, 3) develop strategies to mitigate...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $500,000 to Wayne State University to conduct research on trustworthy artificial intelligence (AI) and machine learning (ML) systems. The project aims to address critical challenges of privacy, robustness, and fairness in reinforcement learning (RL) algorithms, which are increasingly used in high-impact applications like healthcare, education, and large language models. The research focuses...
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 $300,000 Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports research to develop improved evaluation concepts and methods for assessing and enhancing the performance of large language models (LLMs). The key objectives are to: Identify a taxonomy of "evaluation concepts" to pinpoint areas where LLMs are underperforming, such as lack of detail or format issues. Develop...
The National Science Foundation (NSF) awarded a $800,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Illinois Urbana-Champaign. The 3-year grant, effective September 1, 2024, focuses on enhancing the safety of large language models (LLMs) used in high-stakes applications. The project aims to develop quantifiable safety measures and algorithms to detect and mitigate unsafe behaviors in LLMs, such as providing false or...
This $347,570 Project Grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports a comprehensive research initiative at Emory University to advance the integration of knowledge graphs and large language models for healthcare applications. The key products and services to be delivered include: Developing novel methods to construct comprehensive healthcare knowledge graphs by unifying existing sources,...
The National Institute of Standards and Technology (NIST) awarded a $155,925 Project Grant under the Measurement Science and Engineering (MSE) Research Grant Programs (CFDA 11.609) to Burt & Hall LLP (dba Bnh.ai), a self-certified small disadvantaged business, to conduct research focused on trustworthy and responsible artificial intelligence (AI). The key products and services to be delivered through this one-year award include: Operationalizing best practices in AI risk frameworks,...