Project Grant 2437426
- 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 $471,529 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to expand the understanding of large language models (LLMs), a type of artificial intelligence (AI). The project at the Trustees of Boston University aims to move beyond identifying simple, binary concepts within LLMs and instead develop methods to discover and characterize more sophisticated, multi-dimensional...
- The University of Massachusetts (UMass) was awarded a $999,967 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) federal grant program. The 3-year award, effective September 1, 2025, aims to develop techniques that integrate imperfect artificial intelligence (AI) models with human-in-the-loop feedback to enable high-throughput, high-precision scientific measurements with quantified uncertainty from large-scale datasets. The project...
- 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 $200,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support the development, implementation, and study of a novel approach to AI education at Boston College. The project, titled "Research Initiation: Human-Centered AI Algorithm Design for Engineering Students' Professional Formation," aims to help engineering students engage with the ethical, social, and human dimensions of AI. The project will design and test teaching...
- This federal Project Grant award of $432,656 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports collaborative research to better align how artificial intelligence (AI) language models and humans process language. The primary goal is to understand why AI models, such as ChatGPT, do not process language in the same way as humans, particularly around handling temporary semantic ambiguity. The researchers will benchmark the AI models...
- The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
- This $500,000 Project Grant was awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to The Trustees of the University of Pennsylvania, doing business as Clinical Practices of the University of Pennsylvania, from October 1, 2025 to September 30, 2028. The project, titled "MFAI: Mathematical Foundations of Alignment in Generative Artificial Intelligence," aims to address challenges with large pretrained generative AI models, such as replicating biases,...
- This $414,995 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop personalized artificial intelligence (AI) systems that can tailor their responses to individual users based on their unique backgrounds and needs. Key objectives include: Gathering a diverse dataset to characterize the types of responses preferred by different people, particularly underrepresented groups. Using this data to...
- This federal Project Grant award of $180,000.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research at Michigan State University to improve the robustness and trustworthiness of artificial intelligence (AI) models. The project aims to establish statistical frameworks for adversarial training in neural networks and develop scalable algorithms that leverage dynamic attack strategies and selective sampling to enhance the...
This $599,969 Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The grant aims to improve the scientific characterization of human preferences in the context of AI alignment and leverage that knowledge to practically improve AI systems. The research will focus on addressing challenges with the dominant paradigm for AI alignment, which relies on learning from human preferences over possible actions or outcomes. The project, awarded to the University of Massachusetts, will run from September 1, 2025 to August 31, 2028. The goal is to enhance the reliability and utility of future AI systems by ensuring their goals and behaviors consistently reflect and support the intentions of human users.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 8/7/25 |