Tennessee RobUst, Secure, and Trustworthy AI Seminar (TRUST-AI)
In the rapidly evolving landscape of artificial intelligence, the imperative for robust, secure, and trustworthy AI systems has never been more critical. The TRUST-AI seminar series aims to address this urgency by bringing to the forefront discussions on ensuring AI technologies advance in capabilities and do so with an unwavering commitment to security, reliability, and ethical governance. Additionally, TRUST-AI serves as a vibrant platform for networking, collaboration, and inspiration, enabling participants to explore innovative solutions to complex problems and contribute to advancing a safer, more equitable digital world. By emphasizing these pillars of AI development, the seminar aims to position UT and Tennessee at the forefront of responsible and impactful AI research and application, ensuring its community plays a pivotal role in steering the conversation toward more secure, inclusive, and trustworthy technological futures.
Featured Speakers
David Evans
University of Virginia
Kenneth Fleischmann
The University of Texas at Austin
Neil Gong
Duke University
Somesh Jha
University of Wisconsin
Murat Kantarcioglu
Virginia Tech
Patrick McDaniel
University of Wisconsin-Madison
Omar Santos
Cisco
Peter Stone
The University of Texas at Austin
Vitaly Shmatikov
Cornell University
Yuan Tian
University of California, Los Angeles
Li Xiong
Emory University
Organizing Committee
- Fnu Suya (Chair)
- Doowon Kim
- Weizi Li
- Gregory Peterson
- Hairong Qi
- Amir Sadovnik (Joint Faculty with ORNL)
- Catherine Schuman
- Hector Santos-Villalobos
- Jian Liu
- Michela Taufer
Sponsor
This seminar series is a part of the AI TENNessee Distinguished Seminar Series, proudly sponsored by the AI Tennessee Initiative.
Contact
For more information about the seminar please follow us at: