Explainable Artificial Intelligence and Fuzzy Systems

Dove e quando

2020-12-17 | Zoom meeting

The European Commission recognized AI as one of the most strategic technologies of our century. But, as all technological revolutions, AI comes with a price and people must decide whether they want to be assisted by AI and under which conditions. An invoked feature for AI systems that are taking critical decisions is explainability, i.e., people should understand why an automated decision has been made. Explainable Artificial Intelligence (XAI) is an endeavor to evolve AI methodologies and technologies by focusing on the development of agents and systems capable of both generating decisions and explicitly explaining such decisions for users' sake. The talk will give an outlook on XAI, starting from the motivating principles and proceeding with an account of the main concepts. The goal is to understand what is meant by explainability and why it is so important in the realm of AI. As a part of XAI, the talk will also introduce Explainable Fuzzy Systems, by highlighting the main potentialities of this technology to power-up XAI solutions. BIO: Corrado Mencar, (M.Sci ‘00, Ph.D. ‘05) is Associate Professor in Computer Science at the Department of Computer Science of the University of Bari Aldo Moro. His research interests include Computational Intelligence, with particular attention to the interpretability of fuzzy logic systems, Explainable Artificial Intelligence, Intelligent Data Analysis, and Granular Computing. He is vice-chair of the IEEE Task Force on Explainable Fuzzy Systems, promoted by the Fuzzy Systems Technical Committee of IEEE Computational Intelligence Society. He has been a speaker in tutorials and round tables at international conferences on XAI-related topics. Topic: Lecture by Corrado Mencar Time: Dec 17, 2020 03:00 PM Rome Join Zoom Meeting https://zoom.us/j/93521049505?pwd=UFlwNW93cmJXZGVJNnRkZzlWUzN4dz09 Meeting ID: 935 2104 9505 Passcode: uH50pX
Ultimo aggiornamento 23 Novembre 2020