报告题目：The Need for Fuzzy AI
主讲人： Jon Garibaldi，英国诺丁汉大学计算机学院院长，IEEE Fellow
报告时间：2022年6月10日（周五）16:00-17:00
腾讯会议：837-470-969
报告摘要：
Artificial intelligence (AI) is once again a topic of huge interest around the world. Whilst advances in the capability of machines are being made at an incredible rate, there is also increasing focus on the need for computerised systems to be able to explain their decisions, at least to some degree. It is also clear that data and knowledge in the real world are characterised by uncertainty. Fuzzy systems based on Zadeh's Fuzzy Sets introduced in 1965 can provide decision support systems, which both handle uncertainty and have explicit representations of uncertain knowledge and inference processes. However, it is not yet clear how any decision support systems, including those featuring fuzzy methods, should be evaluated as to whether their use is permitted. In this talk, I will present a conceptual framework of 'indistinguishability' as being the key component of the evaluation of computerised decision support systems. Hence, I will argue for the need for 'fuzzy AI' in two senses: (i) the need to use fuzzy methodologies within knowledge-based systems to represent and reason with uncertainty; and (ii) the need for fuzziness in evaluating AI systems, with including acceptance of imperfect performance.
报告人简介：
Professor Jon Garibaldi is Head of School of Computer Science at the University of Nottingham, Head of the Intelligent Modelling and Analysis (IMA) Research Group, and Founding Director of the University of Nottingham Advanced Data Analysis Centre. His main research interest is in developing intelligent techniques to model human reasoning in uncertain environments, with a particular emphasis on the medical domain. Prof. Garibaldi has been the PI on EU and EPSRC projects worth over £3.5m, and CoI on a portfolio of grants worth over £80m. Prof. Garibaldi has published over 300 articles on fuzzy systems and intelligent data analysis, including over 100 journal papers and over 200 conference articles. In January 2017, Prof. Garibaldi was appointed as the Editor-in-Chief of the IEEE Transactions on Fuzzy Systems, the leading international journal in the field of fuzzy methods. He was Publications Chair of FUZZ-IEEE 2007 and General Chair of the 2009 UK Workshop on Computational Intelligence, and has served regularly in the organising committees and programme committees of a range of leading international conferences and workshops, such as FUZZ-IEEE, WCCI, EURO and PPSN. He has recently been elected as a Fellow of the IEEE (class of 2021).
邀请人：人工智能系 江敏教授