This 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), provides $576,351 to Purdue University to advance fair and explainable artificial intelligence through new algorithms and human-centered approaches. The award supports research activities from August 15, 2022 to July 31, 2027 to develop a family of fair, explainable, and robust data mining algorithms with...
This $325,925 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a computational framework for addressing data challenges related to fairness in machine learning. The project aims to integrate "model-centric" and "data-centric" approaches to enhance the generalizability, trustworthiness, and fairness of machine learning algorithms, particularly in...
This National Science Foundation (NSF) Project Grant award to Purdue University, under the Computer and Information Science and Engineering program (CFDA 47.070), focuses on developing novel technologies to enable robust, fair, and explainable data-driven decision-making systems. The $466,411 award, effective July 1, 2023 through June 30, 2028, will fund research to: 1) detect and mitigate biases in machine learning model outcomes, 2) assess the validity of data for learning fair and trustworthy...
This $600,000 federal Project Grant award from the National Science Foundation (NSF)'s Computer and Information Science and Engineering (CISE) program will support research and education efforts at the University of Illinois on the topics of fairness in algorithmic decision-making and machine learning. The project aims to advance the state-of-the-art on achieving fairness in computational resource allocation tasks, like vaccine distribution, as well as developing fairness concepts for machine...
This $625,000 National Science Foundation project grant supports research at the University of Maryland, College Park toward developing fair machine learning algorithms and applications. Specifically, the grant funds the "Toward Fair Decision Making and Resource Allocation with Application to AI-Assisted Graduate Admission and Degree Completion" project. The research aims to design artificial intelligence systems that make admission and resource allocation decisions for graduate...
This $197,265 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) grant awarded to Duke University's Office of Research Administration Division aims to develop robust techniques for assessing and reporting the fairness and reliability of AI-based biosignal algorithms across diverse populations. The research focuses on evaluating algorithm performance under intersectional demographic conditions and drift over time, to enhance the equitable application of AI...
This federal Project Grant award of $164,940 was provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Emory University in Atlanta, Georgia. The funding supports research to investigate challenges around ensuring fairness in artificial intelligence (AI) algorithms under real-world conditions involving distribution shifts, privacy constraints, and robustness to bias amplification attacks. Key expected outcomes include:...
This $625,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research into end-to-end fairness for algorithm-in-the-loop decision making in the public sector. New York University will lead the development of novel methods for identifying and correcting biases in massive, multivariate data used for algorithmic decision making. This will include building models to represent human decision making processes, auditing tools to...
The National Science Foundation awarded a $625,000 project grant to the President And Fellows Of Harvard College from July 2021 through June 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds the "Foundations of Fair AI in Medicine: Ensuring the Fair Use of Patient Attributes" project. This project aims to support investigator-initiated research and education on developing and applying fair artificial intelligence techniques that do...
This $299,977 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop AI-powered approaches to address societal challenges such as managing drought, reducing emissions, and responding to infectious diseases. The key focus areas include: 1) establishing fair, multi-objective, and collective decision-making frameworks for a single time period, 2) exploring fair sequential multi-objective...