Project Grant 2530143
- The National Science Foundation (NSF) awarded a $900,000 Project Grant to Cornell University under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The project, titled "Understanding and Supporting the Effectiveness of Groups Working with Generative AI," aims to investigate how generative AI tools like ChatGPT and Microsoft Copilot affect team dynamics, relationships, and individual well-being in collaborative work settings. Leveraging...
- This federal Project Grant award of $120,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to address ethical and legal concerns related to the use of generative AI in software development. The key objectives are to: Analyze licensing inconsistencies and define AI-relevant copyright interpretations Uncover memorized copyrighted code using novel prompt engineering techniques Design watermarking-based tools to...
- 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 $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 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $100,000 to the University of Wisconsin System to conduct research on the mathematical foundations of advanced generative AI models. The project aims to characterize the mathematical principles that underpin the effectiveness of frontier AI models, such as large language models, and identify key mathematical quantities driving their...
- 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 from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $422,035 to Syracuse University to investigate the impacts of generative artificial intelligence (AI) on the American workforce. The 5-year project, running from June 2025 to May 2030, will conduct three interconnected studies: A two-wave panel survey of 1,500 workers to analyze perceptions of how generative AI affects job quality, productivity, and skill...
- This $218,771 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop new theoretical tools to enhance flow-based generative artificial intelligence (AI) models. The research aims to elucidate how these models, including diffusion models, produce novel outputs and extend their capabilities to handle complex data types beyond the Euclidean setting, such as graphs and point clouds. The project,...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $400,000.00 to the University of California, Berkeley (UC Berkeley) to conduct research on understanding, visualizing, and attributing multimodal generative models - large-scale AI models that generate both text and images. The research aims to develop new systematic frameworks for analyzing the internal mechanisms and...
- This federal Project Grant award of $180,000 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research to address ethical and legal concerns around the use of large-scale training datasets in generative artificial intelligence (AI) systems. The project aims to develop new tools, legal insights, and accountability models to ensure responsible development of generative AI while respecting copyright, licensing norms, and user...
This federal Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program provides $594,753 to Cornell University to develop new methods for controlling generative artificial intelligence (AI) systems that produce text and images. The research aims to improve the reliability and safety of these AI technologies, especially in sensitive applications like healthcare, customer service, and education. The project will investigate language diffusion models, personalization techniques, and other approaches to give users more precise control over the outputs generated by AI chatbots and image creation tools, while maintaining their creative capabilities. This work is intended to enable the safer deployment of generative AI in critical real-world settings and unlock new applications that require guaranteed reliability. The award has an ultimate completion date of August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $594.8k | 7/30/25 |