Project Grant 2532346
- This $350,000 Project Grant was awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program on August 1, 2025. The grant will be used by the University of California, Berkeley to develop scalable algorithms for making artificial intelligence (AI) model predictions more understandable and explainable. This research aims to advance the transparency and trustworthiness of AI systems, which is critical for their safe deployment in applications...
- This Project Grant award of $325,000.00 from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program was granted to the University of Washington to develop powerful new tools for understanding complex data using cutting-edge artificial intelligence (AI) techniques. The project aims to create fast, flexible, and explainable AI-powered methods to help scientists and decision-makers across diverse fields analyze messy, heterogeneous datasets, identify...
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $175,000 to Wake Forest University to conduct research aimed at improving the efficiency and practical use of explainable AI systems. The research objectives are to: 1) accelerate computationally intensive interpretation algorithms for AI systems, 2) develop unified explainer models using manifold-based methods to enable efficient...
- The National Science Foundation (NSF) awarded a $582,031 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the Regents of the University of Michigan, doing business as the University of Michigan. The grant will fund a 5-year research project focused on "Achieving Explainable Artificial Intelligence (AI) Through Human-AI Interaction." The goal of the project is to develop new scientific knowledge and design guidelines for delivering...
- 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 $175,000 two-year Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research at the University of Southern California to develop more explainable artificial intelligence agents with common sense capabilities. The grant aims to advance techniques for AI agents to reason in novel situations, complete open-world narratives, and provide commonsense...
- 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 $300,000 EAGER (Early-concept Grants for Exploratory Research) award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop a framework called XAISE (eXplainable Artificial Intelligence for Science and Engineering) to enhance the explainability of artificial intelligence (AI) models for scientific and engineering applications. The project seeks to design, develop, and implement XAISE to improve the explainability of...
- This $150,000 federal Project Grant awarded on May 1, 2025 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of "Algorithm-Informed Neural Networks (AINNs)," a new approach that integrates well-established algorithmic principles into neural network design. The goal is to enhance the explainability, reliability, and efficiency of artificial intelligence (AI) systems, making them more interpretable and...
- 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 $299,526 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research at the University of Washington (UW) to develop AI systems that can explain their decisions by drawing upon past precedent cases, similar to how judges interpret laws. The key research goals are to: 1) identify cognitive and contextual factors that make case-based reasoning (CBR) a legitimate decision-making model, 2) develop AI systems that ground their reasoning in precedent cases with auditable traces, and 3) evaluate the effectiveness of CBR for accountable AI decision-making. This project aims to translate CBR from legal jurisprudence into computational systems, in order to better align AI-driven decisions with societal values as the use of AI continues to grow. The award period is from Oct 1, 2025 to Sep 30, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $299.5k | 7/22/25 |