Invited Speakers
Keynote: Security, Trust and Privacy: Challenges for community-oriented ICT support
Univ.-Prof. Dipl.-Ing. Dr. Dr. Gerald Quirchmayr
Deputy Head of Research Group Multimedia Information Systems, University of Vienna
gerald.quirchmayr(at)univie.ac.at
Abstract of the Talk
With ICT increasingly becoming the main basis for community communication and cooperation, security, trust, and privacy protection are commonly accepted as core aspects of system design and operations. Starting with a representative example illustrating the resulting challenges, this talk will then give an overview of major legal requirements with the focus on privacy protection. Against this background the feasibility of security and trust mechanisms will be discussed in the context of communities that need to share information and have to cooperate in multiple ways to reach their common goals.
Keywords: Communities, ICT Support, Legislation, Privacy, Security, Trust
Invited Talk: The Third Wave of Artificial Intelligence
Prof. Dr. Ute Schmid
Head of Cognitive Systems Group, University of Bamberg
Abstract of the Talk
Machine learning is considered as an important technology with high potential for many application domains in industry as well as society. Impressive results of deep neural networks, for instance for image classification, promise that complex decision models can be derived from raw data without the need of feature engineering (end-to-end learning). However, there is an increasing awareness of the short-comings of data-intensive black box machine learning approaches: For many application domains it is either impossible or very expensive to provide the amount an quality of data necessary for deep learning. Furthermore, legal or ethical or simply practical considerations often make it necessary that decisions of learned models are transparent and comprehensible to human decision makers. Consequently, AI researchers and practitioners alike proclaim the need for the so-called 3rd Wave of AI to overcome the problems and restrictions of an AI which is focusing on purely data-driven approaches. In the talk, it is shown that machine learning research offers many alternative, often less data-intensive, approaches. Current topics and approaches for explainable and interactive machine learning will be introduced and illustrated with some example applications.
Keywords: Data Engineering Bottleneck, Explainability, Interactive Machine Learning
Invited Talk: The Use of Real-Time Feedback to Trigger Resource Conservation
Prof. Dr. Thorsten Staake
Chair of Information Systems and Energy Efficient Systems, University of Bamberg
thorsten.staake(at)uni-bamberg.de
Abstract of the Talk
Behavior change has been identified as a powerful tool to curb energy consumption. In this context, information and communication technology (ICT) and especially consumption feedback can trigger behavior change on a large scale. Yet, many such “feedback tools” fail to produce the hoped-for energy saving effects—mostly as they fall short in triggering an initial adaption and recurrent application. In order to overcome this problem, we describe and empirically test a scalable and cost efficient solution that relies on “in-situ” real-time feedback. In several randomized controlled trials, the IT artifact demonstrated savings of over 500 kWh per year and household by enabling users to relate current behavior to personal resource use. The contribution also outlines how the artifact has been developed into a successful product that is already been installed in over 75 000 households and how the technology became an integral part of a commercially successful IoT infrastructure for drinking water systems.
Keywords: IoT for Drinking Water Systems, Real-Time Feedback, Smart Faucets