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VerifiedRobotics Engineering· Founded 2019

The Hybrid Intelligence Centre

Hybrid Intelligence (HI) is the combination of human and machine intelligence, expanding human intellect instead of replacing it. HI takes human expertise and intentionality into account when making meaningful decisions and perform appropriate actions, together with ethical, legal and societal values. Our goal is to design Hybrid Intelligent systems, an approach to Artificial Intelligence that puts humans at the centre, changing the course of the ongoing AI revolution. By providing intelligent artificial collaborators that interact with people we strengthen our human capacity for learning, reasoning, decision making and problem solving. This interaction has the potential to amplify both human and machine intelligence by combining their complementary strengths. Hybrid Intelligence requires meaningful interaction between artificial intelligent agents and humans to negotiate and align goals, intentions and implications of actions. Developing HI needs fundamentally new solutions to core research problems in AI: current AI technology surpasses humans in many pattern recognition and machine learning tasks, it falls short on general world knowledge, common sense reasoning, and human capabilities such as collaboration, adaptivity, responsibility and explainability (CARE). The Hybrid Intelligence Centre is a collaboration of top AI researchers from the VU Amsterdam, the University of Amsterdam, the TU Delft, and the Universities of Groningen, Leiden, and Utrecht, in areas such as machine learning, knowledge representation, natural language understanding & generation, information retrieval, multi-agent systems, psychology, multimodal interaction, social robotics, AI & law and ethics of technology. The HI centre will create a national and international focus point for research on all aspects of Hybrid Intelligent systems.

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HeadquartersAmsterdam, NetherlandsEmployees20(51 to 200)Founded year2019Websitehybrid-intelligence-centre.nlLinkedIn profileLinkedIn

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