Dr. Naima Kaabouch, Chester Fritz Distinguished Professor, is currently Director of the Artificial Intelligence Research (AIR) Center and Lead of Cybersecurity & Data Chain within the Research Institute For Autonomous Systems (RIAS) at the University of North Dakota. Her main research interests include artificial intelligence, wireless communication & networking, cybersecurity, sensing, and autonomous systems. She is the PI/CoPI/CoI of numerous grants funded by federal agencies and state sources, including the National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), Federal Aviation Administration (FAA), ND Chamber of Commerce, EPSCoR/NSF, and EPSCoR NASA. She is the author and co-author of over 200 peer-reviewed journal and proceeding papers, 3 pending patents, and the author of 4 research books and handbooks. She is also the recipient of numerous awards in research, education, and service, including the Chester Fritz Distinguished Professor Award (The highest award at UND), the UND Outstanding Faculty Scholar in Research, Teaching, and Service awarded in 2016; the Presidential Scholars Star Faculty awarded in 2010; and the Outstanding Reviewer awarded in 2018 by an international publisher. Dr. Kaabouch has advised numerous graduate and undergraduate students in her projects. These projects have resulted in several local, regional, and national awards. These awards include Several NASA Robotics Competition awards (NASA Joe Kosmo Award of Excellence in 2011, Second Place in 2013, 1st Place in the Outreach Component in 2016, 2d Place in the Presentation & Demonstration Component in 2016, 4th Place in the overall competition in 2016, 4th Place in the Mining Component in 2015), 4 IEEE Contest Awards (2006, 2010, 2011, 2012), 4 “Outstanding Senior Design Prototype Project” Awards (2010, 2011, 2013, college-level award), and Andrew Freeman Award (2012, college-level award).

Title: The Double-Edged Sword of AI: Implications for Research and Education

Abstract: Large language models are sophisticated artificial intelligence programs that are trained on vast volumes of textual data in order to comprehend, produce, and work with human language. These models can perform a variety of tasks, including text production, translation, summarization, coding, problem solving, picture generation, and question answering. They are usually based on deep learning architectures such transformers. LLMs are useful for applications requiring natural language comprehension since they can predict the next word or phrase in a sequence by analyzing linguistic patterns. A example of LLM models is ChatGPT, which was created by OpenAI and made available in 2022. This platform has had a significant impact on research and education since its launch. The benefits and drawbacks of this platform as well as its effects on research and education will be covered in this talk.