This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program award (CFDA 47.070) will fund a $439,425 project at the University of Utah to develop new computational methods that enable safe and robust learning of human intent and values by AI systems. The key objectives are to: (1) develop approaches that provide high-confidence performance guarantees when learning policies from human input, (2) create tests to verify high-confidence alignment between...
This $1,200,000.00 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop novel and comprehensive trustworthy AI tools to address technical and social trust issues in AI systems embedded in transportation cyber-physical systems (CPS). The research activities are closely integrated with education and outreach objectives, including training an underrepresented workforce in trustworthy...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $395,927 to the University of California, Santa Cruz to develop theoretical and algorithmic foundations for building a safe and robust human-AI ecosystem. The 3-year project aims to: Develop an analytical framework to characterize the complex interactions between humans and AI systems, embedding safety components for both the AI learner and human agents....
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop software frameworks that can efficiently serve and deploy machine learning models for a variety of AI-powered applications. The $600,000 award, spanning from October 2024 to September 2027, tasks the prime awardee, Georgia Tech Research Corporation, with creating agile mechanisms and policies to serve a family of AI models across...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $164,940 to Emory University to investigate the impact of generalization, privacy, and robustness challenges on fairness in artificial intelligence (AI) algorithms. The project aims to: (1) develop fairness approaches robust to domain and temporal shifts; (2) create algorithms that improve fairness under privacy mechanisms and minimize privacy leakage; and (3)...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award provides $286,383 to the University of Delaware from September 1, 2024 to August 31, 2029. The project, titled "CAREER: ADVANCING TRUSTWORTHY MACHINE LEARNING FOR DISTRIBUTED SCIENTIFIC DATA ANALYTICS," aims to create a trustworthy optimization toolbox for geo-distributed scientific data analytics. The research focuses on innovations in robust...
This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to North Carolina Agricultural and Technical State University aims to train a diverse research workforce to develop and use fair, ethical, and unbiased AI-based cybersecurity solutions for cloud computing infrastructure. The project will develop and integrate seven advanced experiential learning modules, referred to as AI4SecureCI, into...
This $566,213 federal project grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program will support research at the University of Nebraska at Omaha (UNO) to enhance knowledge representation and automated reasoning techniques for artificial intelligence (AI) systems. The project aims to develop AI methodologies that can create transparent and human-readable computer systems, particularly for high-stakes applications in healthcare...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $237,859 to the Trustees of the Stevens Institute of Technology from January 1, 2025 to December 31, 2027 to explore cybersecurity and privacy enhancement techniques for artificial intelligence of things (AIoT) systems. The project will establish collaborative research platforms, including a new cybersecurity and AI lab, to investigate data poisoning...
This $295,000 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to train the future research workforce to develop and use AI-based cloud cybersecurity solutions that are fair, ethical, and unbiased. The key products and services to be delivered under this 3-year award, which begins on August 1, 2024, include: Developing and integrating seven advanced experiential learning modules, referred to...