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Tuesday, 14. June (Pre-C. Day 2)

Knowledge Representation for Hybrid-Intelligence
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As artificial intelligence (AI) technologies are playing roles in our daily lives more than ever, designing intelligent systems which can work with humans effectively (in- stead of replacing them) is becoming a central research theme: hybrid intelligence (HI). While so many fields in AI are shaped by this demand in parallel (such as multiagent systems, computer vision, computational linguistics), this is not enough pronounced (yet) in the knowledge representation (KR) circles, which is a major sub-discipline in AI. This workshop aims to be the first international workshop to fill this gap. It is called knowledge representation for hybrid intelligence (KR4HI), and it welcomes works that focuses on the use of knowledge representation in various scenarios of hybrid- intelligence. The workshop is to be co-located with the first international conference on hybrid-human artificial intelligence.
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HI ESDiT Collaboration on AI, Human Values and the Law
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Human-Centered Design of Symbiotic Hybrid Intelligence
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As virtual agents and social robots with adaptive and learning capabilities enter our work and leisure environments, new opportunities arise to develop Hybrid (human-AI) Intelligent systems. Both humans and AI-agents learn, adapt, and develop over time, and, consequently, it is a challenge to imagine what these co-evolving HI systems will look like. This workshop brings together researchers who want to explore how to design co-evolving symbiotic HI-systems from a human-centered perspective, thereby using multidisciplinary methods, models and tools. At the workshop, among other things, we will apply storyboards, scenario writing and pattern engineering to identify interesting HI-patterns with accompanying research challenges (to be further processed in a position paper with a research roadmap).
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Lunch
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(Eco)systemic challenges in AI
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Where’s the non-human in Human-centered Artificial Intelligence?
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Rethinking Values Conflicts in Smart Systems
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As AI systems are increasingly embedded in the most diverse functions of our homes and cities (from vacuum cleaning homes to controlling traffic and energy flow), they require a certain degree of autonomy in order to perform their work. However, what happens when the values of those systems collide? Choices in (value) conflict resolution are not only technical but also of ethical, social and philosophical in nature. In more critical contexts, such systems may need to interact on the basis of less information and a greater variety of disagreements. During our workshop, we will get to delve into the topic at hand. As rethinking value conflicts in smart systems requires ways of re-imagining situations and finding fresh perspectives on how to handle complicated value conflicts. Furthermore, we will showcase a variety of conflicts that can be found within this domain, through a curated project exhibitions.
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Keynote by Paul Lukowicz
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