Symposium
Centering AI in Society and Ethics (CASE) Initiative
Understanding and Shaping the Future of AI to Benefit Everyone
Understanding and Shaping the Future of AI to Benefit Everyone
Venue:
Hunt Library, Duke Energy Hall
Raleigh, NC
The keynote speaker for this event will be Dr. James Lester, Professor of Computer Science at NC State and principal investigator of the NSF funded AI Institute for Engaged Learning (please see below for the abstract of his talk).
Lunch and refreshments will be provided.
Please plan to join us on October 30th, and circulate this information among those in the NC State community that you think should attend as well.
More information will follow, but in the meantime, if you could send a short note to Layla Lukas (lmlukas@ncsu.edu) with information about your dietary restrictions (please write "no dietary restrictions" if you have none), that would be greatly appreciated.
Keynote Talk Title: The National Science Foundation AI Institute for Engaged Learning
Keynote Abstract: Emerging breakthroughs in AI are creating significant opportunities for accelerating innovation in K-12 education. Driven by a vision in which AI supports both learners and teachers, the National Science AI Institute for Engaged Learning creates AI-driven narrative-centered learning environments, embodied conversational agents, and multimodal learning analytics through advances in natural language processing, computer vision, and machine learning. Advances in core AI technologies drive new levels of interactivity and multimodal engagement, as well as support the creation of powerful predictive models of student learning. Building on these foundational advances, the Institute conducts use-inspired AI research on narrative-centered learning environments with AI-driven virtual agents and multimodal sensing capabilities to understand how students learn and collaborate in rich story-based problem scenarios. The Institute is creating a robust infrastructure to support at-scale implementations of AI-driven narrative-centered learning. Its research focuses on empowering diverse learners with generative, collaborative AI-driven narrative learning environments that deeply engage learners in schools, at museums, and within their own communities. Woven throughout the Institute’s activities is a focus on ethics, with an emphasis on creating AI-augmented learning that is deeply informed by considerations of fairness, accountability, transparency, trust, and privacy.
Venue:
Hunt Library, Duke Energy Hall
Raleigh, NC
AI in Society Ideation Event
The goal of this Ideation Event (envisaged to be the first of a series of three or four) was to coalesce groups of interested faculty from a broad range of disciplines that can consider problems, challenges, and opportunities in the “AI in Society” space - and specifically, begin developing one or more large multi-disciplinary funding proposals in this space in the near future.
This event was open to NC State faculty, postdocs, and Ph.D. students; pre-registration was required.
Agenda
8:30 AM - 9:00 AM Check-In
9:00 AM - 9:15 AM Overview Veljko Dubljevic, George List, and Darby Orcutt
9:15 AM - 9:45 AM Rapid Participant Introductions All Attendees
9:45 AM - 10:15 AM Introduction to AI in AERPAW Rudra Dutta (Associate Head of CSC)
10:15 AM - 10:45 AM Autonomous Vehicles Munindar Singh (CSC) and George List (CCEE)
10:45 AM - 11:00 AM Break
11:00 AM - 12:00 PM Break-Out Groups AI in Transportation; AI in Healthcare; AI in Communication
12:00 PM - 12:30 PM Reports from Break-Out Groups
12:30 PM - 2:00 PM Lunch Break
2:00 PM - 2:30 PM Large Language Models Timothy Menzies (CSC) and Paul Fyfe (CHASS)
2:30 PM - 3:30 PM Break-Out Groups
Discussions of funding opportunities from the National Science Foundation (NSF), National Institute of Health (NIH), and other agencies
3:30 PM - 4:00 PM Reports from Break-Out Groups
4:00 PM - 4:15 PM Break
4:15 PM - 4:45 PM Discussion of Day One Activities Veljko Dubljevic and Darby Orcutt
For ADA information, please contact Layla Lukas (lmlukas@ncsu.edu).
Topics range widely from how to program machines to be moral to how AI will impact employment. This research is leading the way on the social and ethical impacts of AI! We are grateful for the impactful work these researchers have done.