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...
The National Science Foundation (NSF) awarded a $300,000 Project Grant under the CFDA Program 47.070 - Computer and Information Science and Engineering. The grant was awarded on October 1, 2023 to the University of Tennessee, Knoxville to develop new curricular modules and hands-on exercises for computer science students and the software development workforce. The goal is to enhance their secure coding practices when using AI-powered coding assistant tools, such as ChatGPT and GitHub Copilot,...
This $402,777 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to enhance the correctness, safety, and robustness of large language model (LLM)-generated computer code. The 5-year project, beginning July 1, 2024, aims to advance the understanding of LLM limitations in program generation and develop approaches to regulate LLM-generated code. Key activities include empirical studies...
This $207,962 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) grant awarded to Tufts University on February 1, 2024 will support research to enhance the robustness of artificial intelligence (AI) systems against hardware-oriented vulnerabilities. The project has four main thrusts:
Designing algorithm-hardware collaborative backdoor attacks to exploit new adversarial vulnerabilities in deep neural networks.
Developing methodologies to...
This $248,136 federal Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support the development of new AI methods for learning symbolic knowledge represented as computer code. The project aims to combine ideas from statistics, large language models, and program synthesis to create AI systems that can learn more abstract forms of knowledge from fewer examples and describe their knowledge in...
This $355,237 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research at the University of Washington (UW) to analyze the societal impact of generative artificial intelligence (AI) systems. The research aims to evaluate and characterize associations and biases in generative AI models, and develop methods to automatically identify and reduce biases. Key objectives include assessing how generative...
This $100,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support the planning of a large-scale proposal to study the risks and benefits of generative AI-based systems for security and privacy. The University of Kansas Center for Research Inc. will lead this one-year planning effort, which aims to develop a comprehensive proposal addressing the scientific questions, team and partnerships,...
The National Science Foundation (NSF) awarded a 4-year, $252,007 Project Grant under the Engineering (CFDA 47.041) program to Northeastern University. The grant supports the development and testing of AI-based programming tools to assist social and natural scientists with computer programming tasks. The research team is developing large language models and associated tools to support programming languages commonly used in the sciences, such as MATLAB and R, in order to make programming easier...
The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $299,905 Project Grant to Loyola University of Chicago to develop and evaluate a comprehensive 12-workshop experiential training program to raise awareness among AI practitioners of the cybersecurity and privacy risks associated with building AI-based systems. The project aims to provide knowledge and skills needed to build AI systems that are secure, ethical, and privacy-preserving. The workshop...
This Project Grant from the National Science Foundation's $647,424 Computer and Information Science and Engineering program will fund research at Vanderbilt University towards developing more human-like artificial intelligence models of source code. The goal is to advance neural representation techniques that underpin many software engineering tasks by improving models to better characterize and potentially mimic human behavior during activities like code review and debugging. Researchers...