Join Illinois Institute of Technology’s College of Computing at 12:45–1:45 p.m. Friday, October 13, for the online panel discussion “Artificial Intelligence (AI): The Good, the Bad, and the Amazing Opportunities” as panelists discuss the following topics:
- The Future of AI
- Potential AI Harms and Biases
- ChatGPT and Real-World Decision Making
- Enhancing Human Trust on AI Models
- The Challenges of Using AI as an Educational Tool
Registration for this free Zoom event is required.
Lance Fortnow, Ph.D., Illinois Institute of Technology, Dean of the College of Computing
Lance Fortnow received his Ph.D. in applied mathematics at Massachusetts Institute of Technology in 1989 under the supervision of Michael Sipser. Before he joined Illinois Tech in 2019 as dean, Fortnow was the chair of the Department of Computer Science at the Georgia Institute of Technology, and previously was a professor at Northwestern University and the University of Chicago, a senior research scientist at the NEC Research Institute, and a one-year visitor at CWI and the University of Amsterdam. From 2007 to 2018 Fortnow held an adjunct professorship at the Toyota Technological Institute at Chicago. Fortnow’s research spans computational complexity and its applications. His work on interactive proof systems and time-space lower bounds for satisfiability have led to his election as a 2007 ACM Fellow. In addition, he was an NSF Presidential Faculty Fellow from 1992-1998 and a Fulbright Scholar to the Netherlands in 1996-97. Fortnow’s survey “The Status of the P versus NP Problem” is one of the CACM’s most downloaded articles. Fortnow has written a popular science book The Golden Ticket: P, NP and the Search for the Impossible, which is loosely based on that article.
Hannah Ringler, Ph.D., Illinois Institute of Technology, Assistant Teaching Professor and Director of Communication Across the Curriculum
Hannah Ringler is a professor of rhetoric and oversees the university’s writing curriculum. Her research primarily focuses on the interpretability of computational models of language and on the applications of technology in teaching writing. In doing so, she brings together methods from both natural language processing and traditional humanistic language studies to improve the understanding of language in both areas. On the university level, she leads the development and assessment of the university’s communication curriculum across all disciplines. Ringler obtained her Ph.D. in Rhetoric at Carnegie Mellon University.
Jennifer deWinter, Ph.D., Illinois Institute of Technology, Dean of the Lewis College of Science and Letters and Professor of Rhetoric
Jennifer deWinter’s research on Japanese media has led to a career in media development, specifically in virtual and augmented reality, app development, and game development, which she applies broadly into entertainment, mental health, simulation of complex systems such as transportation, robotics, and more recently the metaverse. She works closely with collaborators in Japan for both research and teaching, often taking students to Japan in partnership with Osaka University and Ritsumeikan University to do immersive media development. She was the founding director of the Intentional Design Studio in Massachusetts, and has worked as an immersive digital media development consultant for a number of companies and government organizations.
Bich-Thuy Le, Global AI and Technology Innovation Executive
Bich-Thuy Le has a passion for innovative technology solutions, and finds challenges irresistible. She has more than 20 years of diverse experience in working with executives from startups to Fortune 500 companies to navigate through the ever-changing technology landscape. Le looks for relevant technology trends and finds new ways to streamline, automate, and transform the business. Whether it is defining the technology vision and roadmap for the global enterprise or developing a highly effective organization, she headed strategic initiatives that leverage leading-edge technologies with a current focus on AI/ML and digital transformation. Recently, one of Le’s machine learning patents was approved by the United States Patent and Trademark Office, and has three that are pending. Le has received awards and recognition for her leadership and product innovation.
Kai Shu, Ph.D., Gladwin Development Chair Assistant Professor in the Department of Computer Science at Illinois Institute of Technology
Kai Shu obtained his Ph.D. in Computer Science at Arizona State University. He was the recipient of 2023 DARPA AI Forward Scholarship Award, 2023 AAAI New Faculty Highlights, 2022 Cisco Faculty Research Award, the finalist of a 2022 Meta Research Award, and 2020 ASU Engineering Dean’s Dissertation Award. His research lies in artificial intelligence, trustworthy machine learning, data mining in applications such as social computing, and healthcare. He has published innovative works in highly ranked journals and top conference proceedings such as ACM KDD, SIGIR, WSDM, WWW, CIKM, IEEE ICDM, IJCAI, and AAAI. More can be found at http://www.cs.iit.edu/~kshu/.