This $300,000 Project Grant was awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084). The grant supports research by Virginia Polytechnic Institute & State University (Virginia Tech) to investigate algorithmic biases in artificial intelligence (AI)-based ergonomic assessments for work-related musculoskeletal disorders (WMSDs). The key objectives are to: (1) obtain stakeholder perspectives on AI-based ergonomic assessments, (2) identify sources of algorithmic biases, (3) develop and evaluate methods to mitigate these biases, and (4) conduct focus groups to understand AI biases and effects on worker health and explainability. This work aims to advance worker health and safety by addressing critical issues related to AI fairness and bias, with potential benefits for the U.S. economy and workforce, especially for women and older workers. Subawards are planned as part of this project.
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