Correction. This is an in-person talk in Rogers 230. From: Ai <ai-bounces@engr.oregonstate.edu> On Behalf Of Mangannavar, Rajesh Devaraddi Sent: Thursday, January 19, 2023 5:20 PM To: eecs-grads@engr.oregonstate.edu; eecs-faculty@engr.oregonstate.edu; ai@engr.oregonstate.edu; ai-seminar@engr.oregonstate.edu Cc: Tadepalli, Prasad <prasad.tadepalli@oregonstate.edu> Subject: [Ai] AI seminar: January 20, 2023 Dear all, Our next AI seminar on "Symbols as a Lingua Franca for Supporting Human-AI Interaction For Explainable and Advisable AI Systems" by Subbarao Kambhampati is scheduled to be on January 20th(Tomorrow), 1-2 PM PST. It will be followed by a 30-minute Q&A session with the graduate students. Please note that the speaker will be on zoom for the event but it will be set up in Rogers 230 for everyone to attend. Symbols as a Lingua Franca for Supporting Human-AI Interaction For Explainable and Advisable AI Systems Subbarao Kambhampati Professor Arizona State University Abstract: Despite the surprising power of many modern AI systems that often learn their own representations, there is significant discontent about their inscrutability and the attendant problems in their ability to interact with humans. While alternatives such as neuro-symbolic approaches have been proposed, there is a lack of consensus on what they are about. There are often two independent motivations (i) symbols as a lingua franca for human-AI interaction and (ii) symbols as system-produced abstractions used by the AI system in its internal reasoning. The jury is still out on whether AI systems will need to use symbols in their internal reasoning to achieve general intelligence capabilities. Whatever the answer there is, the need for (human-understandable) symbols in human-AI interaction seems quite compelling. In particular, humans would be interested in providing explicit (symbolic) knowledge and advice -- and expect machine explanations in kind. This alone requires AI systems to maintain a symbolic interface for interaction with humans. In this talk, I will motivate this point of view, and describe recent efforts in our research group along this direction. Speaker Bio: Subbarao Kambhampati is a professor of computer science at Arizona State University. Kambhampati studies fundamental problems in planning and decision making, motivated in particular by the challenges of human-aware AI systems. He is a fellow of Association for the Advancement of Artificial Intelligence, American Association for the Advancement of Science, and Association for Computing machinery, and was an NSF Young Investigator. He served as the president of the Association for the Advancement of Artificial Intelligence, a trustee of the International Joint Conference on Artificial Intelligence, the chair of AAAS Section T (Information, Communication and Computation), and a founding board member of Partnership on AI. Kambhampati's research as well as his views on the progress and societal impacts of AI have been featured in multiple national and international media outlets. He can be followed on Twitter @rao2z. Please watch this space for future AI Seminars : https://engineering.oregonstate.edu/EECS/research/AI<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fengineering.oregonstate.edu%2FEECS%2Fresearch%2FAI&data=05%7C01%7CAlan.Fern%40oregonstate.edu%7Cf6134140979b4d68270e08dafa846eb5%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638097743994935713%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2BadV%2FwX0uERZTKgRh%2Fz6IF77IKewoJZy4XUMM8xu8hg%3D&reserved=0> Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> For graduate students in the AI program, attendance is strongly encouraged.