Artificial Intelligence: Game Changer or Game Over?

Thursday, October 6, 2022 - 06:00 pm
Darla Moore School of Business W.W. Hootie Johnson Hall

The Office of the Vice President for Research is honored to welcome UofSC faculty researchers Forest Agostinelli, Orgul Ozturk, Jane Roberts and Bryant Walker Smith, as panelists for AI: Game Changer or Game Over?

Event Overview

The rapid proliferation of artificial intelligence in the 21st century is both promising and fraught, and for good reason—for decades, popular culture has envisioned how this futuristic technology might serve or even destroy humanity. From Rosey the sassy robot maid in the Jetsons to the sinister HAL 9000 computer in Stanley Kubrick’s 2001: A Space Odyssey, and including seemingly endless depictions in-between those extremes, our art has anticipated both helpful, symbiotic relationships and destructive confrontations between biological humanity and human-created intelligent technologies. But now that AI is here with us, what is the reality? How are artificial intelligences serving humanity today and how will their roles evolve tomorrow? What pitfalls come with the benefits of using AI? How do we harness the power of AI without becoming dangerously over-reliant?

These are some of the questions the Office of the Vice President for Research will invite the university community to explore on Thursday, October 6, 2022, when we convene a panel of university faculty experts to discuss their insights on the ethics and implications of artificial intelligence.

Logic & Learning: From Aristotle to Neural Networks

Friday, October 7, 2022 - 02:20 pm

This Friday (10/7), from 2:20 pm - 3:10 pm, at the Seminar in Advances in Computing, Dr. Vaishak Belle from the University of Edinburgh will give a virtual talk.

Virtual Meeting Link

The tension between deduction and induction is perhaps the most fundamental issue in areas such as philosophy, cognition and artificial intelligence (AI). The deduction camp concerns itself with questions about the expressiveness of formal languages for capturing knowledge about the world, together with proof systems for reasoning from such knowledge bases. The learning camp attempts to generalize from examples about partial descriptions about the world. In AI, historically, these camps have loosely divided the development of the field, but advances in cross-over areas such as statistical relational learning, neuro-symbolic systems, and high-level control have illustrated that the dichotomy is not very constructive, and perhaps even ill-formed. In this talk, we briefly survey work that provides further evidence for the connections between logic and learning. Our narrative is structured in terms of three strands: logic versus learning, machine learning for logic, and logic for machine learning, but with ample overlap.

Speaker's Bio: Please see for a brief bio.