Department of Information and Communication Engineering, Myongji University, Korea
Asking AI why: Explainable artificial intelligence
In the early phases of AI adoption, it was okay to not understand what the model predicts in a certain way, as long as it gives the correct outputs. Explaining how they work was not the first priority. Now, the focus is turning to build human interpretable models. In the invited talk, Prof. Park will explain why eXplainable AI is important. Then she turns to what is actually means to explain an AI model. Through this invited talk, we will ask questions, and we should be ready to answer the models such as ensembles and neural networks are called black-box models.
Why should we trust your model?
Why did the model take a certain decision?
What drives model predictions?
Biography of Prof. Jayh (Hyunhee) Park
Prof. Jayh (Hyunhee) Park received the Ph.D. degrees in electronics and computer engineering from Korea University, Seoul, South Korea, in 2011. She joined the Faculty of Myongji University, Seoul, in 2020, where she is currently an associate professor with the department of Information and Communication Engineering. She is currently a supervisor of DAN Lab (Data Analysis and Networking). From March 2017 to February 2020, she has been working the department of computer software as an assistant professor from Korean bible university, Seoul, South Korea. From November 2014, she has been working in LG Electronics as a Senior Researcher for Wi-Fi standardization (IEEE 802.11ax, Wake Up Radio, Wi-Fi Alliance, etc.). From January 2013 to October 2014, she joined INRIA Research Center as a Postdoctoral Researcher where she works in DIONYSOS Research Group and in Telecom Bretagne as a Postdoctoral researcher where she undertakes the system implementation for QoE on wireless networks. From September 2011 to February 2013, she joined Korea University as a Research Professor. She served as the Program Co-Chair for the IMIS 2020, the Organizing Committee for the ICTC2020 and ICTC2021, and the Workshop organizer for FINGNet 2019 and 2020. She is a Guest Editor of the Electronics and Journal of Advanced Transportation. Her research interests include wireless networks, mobile edge/cloud computing, and big data analysis.
Dr. Antonio Esposito
University of Campania "Luigi Vanvitelli", Italy
Co-evolution of Semantic and Blockchain Technologies
Semantic Technologies have demonstrated to have the capability to ease interoperability and portability issues in several application fields, such as Cloud Computing and the Internet of Things. Indeed, the increase in resource representation and the inference capabilities enabled by Semantic technologies represent important components of current distributed software systems, which can rely on better information interoperability and decision autonomy.
However, semantics alone cannot solve trust and reliability issues that, in many situations, can still arise within software systems. Blockchain solutions have shown to be effective in this area, creating data sharing infrastructure where information validation can be done without the necessity of third-party services.
A co-evolution and integration of Semantic and Blockchain technologies would at the same time enhance data interoperability and ensure data trust and provenance, creating undeniable benefits for distributes software systems.
This talk will focus on the current State of the Art regarding the integration of Semantic and Blockchain technologies, looking at the state of their co-evolution, at the available and still needed solutions.
Biography of Dr. Antonio Esposito
Antonio Esposito is currently Assistant Professor at the Department of Engineering of the University of Campania "Luigi Vanvitelli", Italy. His PhD thesis focused on the recognition and application of Design and Cloud Patterns to Software development in Cloud Environments, with the support of Semantic Technologies. He has been involved in the EU funded FP7-ICT Project mOSAIC and in the Horizon 2020 Project Toreador, and he is currently involved in the Horizon 2020 project GreenCharge and in the Applied Research Project ”Big data Giustizia e Datawarehouse” promoted by the Italian Ministry of Justice as part of the Consorzio Interuniversitario Nazionale per l’Informatica (CINI). His areas of expertise include Cloud Computing and Interoperability among Cloud Service, Design and Cloud patterns, Semantic based information retrieval and Internet of Things. He is expert in the design and population of ontologies, with particular regard but not limited to the Cloud Computing domain, having published several papers on the application of semantic techniques to the portability and interoperability of Cloud based application.