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 $550,000 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of generative artificial intelligence (AI)-powered products that enable humans to interact and converse with books and other documents. The key products being developed include: Technology to represent the informational content of books and document discussions as a knowledge graph, which will then be used to ground large...
This $250,000 project grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of California, Los Angeles (UCLA). The project aims to develop generative artificial intelligence (AI) frameworks to aid scientific reasoning and accelerate sustainable development. Specifically, the grant will fund the creation of new generative AI architectures, objectives, and techniques to efficiently...
This National Science Foundation (NSF) grant under the Engineering program (CFDA 47.041) in the amount of $199,954 provides funding to the University of Cincinnati to conduct research on how undergraduate engineering students utilize external resources, including generative AI tools like ChatGPT, to supplement their learning and problem-solving. The study aims to understand students' metacognitive strategies when engaging with these resources, with the goal of informing how educators can...
This Project Grant award of $414,234 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support research to investigate the use of generative AI, specifically ChatGPT 3.5, to help undergraduate engineering students consider diverse populations and societal impacts in their design work. The project aims to address challenges engineering students face in identifying and accounting for diverse stakeholders and societal implications during engineering design. 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 Project Grant award of $763,741.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports a collaborative research project at New York University (NYU) to investigate how human and artificial intelligence (AI) language models, such as ChatGPT, process and understand language. The key goals of the project are to better understand the discrepancies between how humans and AI systems process temporary...
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 $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...
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...