This National Science Foundation (NSF) STEM Education (CFDA 47.076) project grant award of $146,000.00 to Temple University aims to develop comprehensive educational modules and software-based labs to prepare students and future engineers to address machine learning (ML) security vulnerabilities and achieve trustworthy artificial intelligence (AI) systems. The project will create practice-in-the-loop learning experiences for students to understand the security of ML in computer vision, speech recognition, and voice assistant systems. The educational resources developed, including teaching slides, software labs, and training projects, will enable undergraduate student training and outreach activities, as well as be disseminated online and through academic publications to ensure diverse communities can access the educational content. This project supports NSF's mission to advance STEM education and research and has been deemed worthy of support based on the agency's intellectual merit and broader impacts review criteria. No sub-awards are planned for this award, which has a performance period from August 2024 to July 2027.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $146.0k | 8/5/24 |