Natural Language Processing in the Age of Generative Artificial Intelligence: Challenges, Risks, and Opportunities

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Friday, October 4, 2024

12:00 PM (EST)/ 9:00 AM (MST)

About the Seminar: Natural Language Processing in the Age of Generative Artificial Intelligence: Challenges, Risks, and Opportunities

This talk presents challenges, risks, and opportunities for Natural Language Processing (NLP) Applications, focusing on the future of NLP in the age of Generative Artificial Intelligence (GenAI). A case is made for moving beyond “just the words of the language” to support more reliable and transparent output, i.e., representation-driven NLP that adopts the power of GenAI but incorporates explanatory internal structures to capture principles that apply across human languages. By adopting hybrid approaches, it is possible to combine linguistic generalizations together with statistical and neural models to handle implicitly conveyed information (e.g., beliefs and intentions), while supporting “explainable” outputs that enable end users to understand how and why an AI system produces an answer. Representative examples of GenAI output are provided to illustrate areas where more exploration is needed, particularly with respect to task-specific goals.

Bonnie Dorr Headshot

Dr. Bonnie Dorr

Professor and Director of the Natural Language Processing & Culture (NLP&C) Laboratory

Bonnie J. Dorr is a Professor in the Department of Computer and Information Science and Engineering at the University of Florida, where she directs the Natural Language Processing & Culture (NLP&C) Laboratory. She is also an affiliate of the Florida Institute for National Security, former program manager of DARPA’s Human Language Technology programs, and Professor Emerita at University of Maryland. Dorr is a recognized leader in artificial intelligence and natural language, specializing in machine translation and cyber-aware language processing. Her research explores neural-symbolic approaches for accuracy, robustness, and explainable outputs. Applications include cyber-event extraction for detecting and mitigating attacks, detecting influence campaigns, and building interpretable models. She is a NSF PECASE Fellow, a Sloan Fellow, and a Fellow of AAAI, ACL, and ACM.

About the CAOE Seminar Series

Artificial Intelligence (AI) has taken the world by storm with applications in self-driving cars, medical diagnostics, biometric analysis, and more. However, the use of AI is not without its own drawbacks. As such, it is critical to understand the current state of the art in AI, where the field is going, and what can (or cannot) currently be accomplished with Artificial Intelligence. In this seminar series, we invite AI luminaries to discuss current advances in Artificial Intelligence and offer insights into the perils and promises of such technology for the Homeland Security Enterprise.

Event Location

Attend: Virtual via Zoom Webinar