HORARIO: 19 de junio y 21 de junio, 11:00h
LUGAR: Salón de Grados
PONENTE: Grzegorz J. Nalepa is an engineer with degrees in computer science - artificial intelligence, and philosophy. He has been working in the area of intelligent systems and knowledge engineering for over 15 years. He formulated the eXtended Tabular Trees rule representation method, as well as the Semantic Knowledge Engineering approach. He authored a book "Modeling with Rules using Semantic Knowledge Engineering" (Springer 2018).He co-edited a book "Synergies Between Knowledge Engineering and Software Engineering" (Springer 2018). He co-authored over 150 research papers in international journals and conferences. He coordinates GEIST - Group for Engineering of Intelligent Systems and Technologies (http://geist.re),and cooperates with AGH University and Jagiellonian University in Krakow, Poland. He is a member of Polish Artificial Intelligence Society (PSSI), IEEE, Italian Artificial Intelligence Society (AI*IA) and KES. His recent interests include context-aware systems, affective computing and explainable AI. Recently he organised two editions of the AfCAI workhop in Murcia (2016) and Valencia (2018).
TÍTULO: Introduction to Affective Computing. Towards Context and Emotion Aware Companions. Recent Progress
RESUMEN: Affective Computing (AfC) is a field of study that puts interest in the design and description of systems that are able to collect, interpret, and process emotional states. Assuming that emotions are physical and cognitive and as such they can be studied interdisciplinary by computer science, biomedical engineering and psychology. We will give an overview of important aspects of AfC. In our work on AfC we focus on wearable sensors for physiological monitoring which should allow for developing ubiquitous affective systems. We argue, that human-centric cognitive computer systems should be able to detect and interpret changes of emotional state of the users. To this goal we propose to combine to computing approaches: affective computing and context-aware systems. As such we will also explore opportunities of incorporation of affective information into context-aware systems paradigm. Research in the area of pervasive computing and ambient intelligence aims to make use of context information to allow devices or applications behave in a context-aware, thus "intelligent" way. Context-aware systems have been studied in several fields and developed for over 30 years. However, they are still identified by Gartner alongside cloud computing, business impact of social computing and pattern based strategy. We will focus on systems implemented with the use of mobile devices such as smartphones. In such dynamic systems a number of challenges need to be addressed. Today, such systems should be personalized, and use wearable devices and ambient intelligence technologies to be constantly available to the user. The context-aware paradigm provides means for the development of such systems. In the talk we will present our recent results in this area including new knowledge representation, reasoning methods and tools.
TÍTULO: AI Technological Opportunities and Ethical Challenges, an Overview
RESUMEN: In this talk we give on overview of selected classic AI approaches. This include symbolic AI, computational intelligence, as well as machine learning. We emphasize their relationships and distinct features. Furthermore, we explore different aspects of building intelligent systems to consider how they are used and embedded in our world. Based on this introduction we consider number of ethical challenges regarding AI systems. This includes the way how the systems are built, their purpose, as well as the designers. We emphasize the underlying role of values, and codes of professional ethics. We mention specific topics, such as the ethics of big data, as well as much more general one, such as the Ethically Aligned Design. We finish with more general perspective as considered by Transhumanism and consider different levels of Super-Intelligence, Artificial General Intelligence, and finally a Technological Singularity.