This $800,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop mathematically rigorous methods for ensuring the reliability and safety of generative AI technologies like ChatGPT. The research aims to address both near-term and long-term challenges in this domain. For the near-term, the project will establish parameters for detecting and calibrating factual assertions made by generative...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $175,000 to the University of California, Merced to advance artificial intelligence (AI) by developing more reliable and trustworthy question-answering systems. The project integrates large language models with structured knowledge graphs to ensure AI outputs are grounded in verified information, reducing errors and improving reliability. The research aims...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award provides $174,965 to the University of West Georgia to develop an evidence-aided symbolic reasoning framework for trustworthy interdependent multi-modal multi-agent machine learning tasks. The project aims to establish trust metrics and foundational engineering principles essential for securing AI systems in domains such as medical, transportation, military,...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Postdoctoral Research Fellowship award in the amount of $160,000 supports a two-year research project examining how children aged 7-12 understand and trust the capabilities of generative AI chatbots. The research involves a mixed-methods study across two phases - an initial experiment to assess children's trust in AI vs. human-provided information and their ability to identify common AI chatbot errors,...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal project grant award (CFDA 47.070) provides $464,781 to the Rochester Institute of Technology (RIT) from January 1, 2025 to December 31, 2027. The goal of this award is to encourage ten talented undergraduate students per year to pursue graduate study and research careers in trustworthy artificial intelligence (AI) by engaging them in summer research projects on topics such as robustness,...
This $348,757 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to define and measure social and emotional understanding in artificial intelligence (AI) language models. The 5-year project at the University of Texas at Austin aims to develop rigorous frameworks for assessing the emotional reasoning capabilities of large language models like ChatGPT. The research will produce...
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 $174,995 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to understand and optimize the role of human intelligence in data integration and discovery pipelines, especially in the context of emerging large language models (LLMs) like ChatGPT. The project will investigate fundamental questions about human involvement in these data processes, uncover relevant human biases, and...
This $197,972 project grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports research at the University of Massachusetts (UMass) to enhance the relevance, diversity, and interpretability of information retrieval models for large generative AI systems like ChatGPT. The project aims to develop novel retrieval models that can provide users with a diverse set of interpretable, trustworthy responses to queries by...
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...