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<div>Call for papers</div>
<div>Hybrid Human-Artificial Intelligence (HHAI)</div>
<div>June 13-17 2022, Amsterdam</div>
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<div>Please find the most up to date information in our website: https://www.hhai-conference.org/</div>
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<div>Hybrid Human-Artificial Intelligence (HHAI) is the first international conference focusing on the study of Artificial Intelligent systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence.
HHAI aims for AI systems that assist humans and vice versa, emphasizing the need for adaptive, collaborative, responsible, interactive and human-centered intelligent systems that leverage human strengths and compensate for human weaknesses, while taking into
account social, ethical and legal considerations. This field of study is driven by current developments in AI, but also requires fundamentally new approaches and solutions. In addition, we need collaboration with areas such as HCI, cognitive and social sciences,
philosophy & ethics, complex systems, and others. In this first international conference, we invite scholars from these fields to submit their best original, new as well as in progress, visionary and existing work on Hybrid Human-Artificial Intelligence.</div>
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<div>We welcome research on the different challenges in Hybrid Human-Artificial Intelligence. The following list of topics is illustrative, not exhaustive.</div>
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<div>-Human-AI interaction and collaboration</div>
<div>-Adaptive human-AI co-learning and co-creation</div>
<div>-Learning, reasoning and planning with humans and machines in the loop</div>
<div>-User modeling and personalisation</div>
<div>-Integration of learning and reasoning</div>
<div>-Transparent, explainable and accountable AI</div>
<div>-Fair, ethical, responsible and trustworthy AI</div>
<div>-Technical and critical perspectives on human-AI interaction </div>
<div>-Meaningful human control over AI systems</div>
<div>-Values and politics in the design and use of human-AI interaction</div>
<div>-Law and policy challenges around human-centered AI systems</div>
<div>-Societal awareness of AI</div>
<div>-Multimodal machine perception of real world settings</div>
<div>-Social signal processing</div>
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<div>We welcome contributions about all types of technology, from robots and conversational agents to multi-agent systems and machine learning models.</div>
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<div>This first edition of Hybrid Human-Artificial Intelligence is organized by the Hybrid Intelligence Centre (https://www.hybrid-intelligence-centre.nl/ ) and the Humane-AI European Network (https://www.humane-ai.eu/) .</div>
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<div>Paper types </div>
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<div>In this conference, we wish to stimulate the exchange of novel ideas and interdisciplinary perspectives. To do this, we will accept three different types of papers: </div>
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<div>Full papers present original, impactful work (12 pages excluding references) </div>
<div>Working papers present work in progress or new and visionary ideas (8 pages excluding. references)</div>
<div>Extended abstracts present existing, pre-published work (4 pages excluding references)</div>
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<div>Accepted full papers will be published in the Proceedings of the First International Conference on Hybrid Human-Machine Intelligence, in the Frontiers of AI series by IOS Press as Open Access publications. Abstracts of working papers and existing work
can be included in these proceedings, unless the authors request the abstracts to remain unpublished.</div>
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<div>We aim to invite a selected subset of papers to be submitted to a journal special issue on the topic of hybrid human-artificial intelligence. The journal is yet to be confirmed.</div>
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<div>Location</div>
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<div>This will be an in-person, single-track conference, held in Amsterdam, the Netherlands.</div>
<div>Pending local and global Covid measures at the time of the conference, we will provide options to attend virtually. The conference will be hosted at the campus of the Vrije Universiteit Amsterdam.</div>
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<div>Reviewing process & Submission guidelines</div>
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<div>Reviewing will be single anonymized, as we are welcoming existing work and references to previous work from the submitting authors. Submissions of full and working papers should be original work and ideas without substantial overlap with pre-published
papers. Extended abstracts can present previously published work. </div>
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<div>On acceptance, at least 1 author should attend the conference. </div>
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<div>All submissions should adhere to IOS formatting guidelines. A template for LateX and Word can be found at https://www.iospress.com/book-article-instructions. Papers should be written in English.</div>
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<div>Work should be submitted in .pdf format via easychair: https://easychair.org/conferences/?conf=hhai2022</div>
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<div>Important dates</div>
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<div>Abstract submission: February 25th 2022</div>
<div>Paper submission: March 4th 2022</div>
<div>Author notification: April 18 2022</div>
<div>Camera-ready submission: May 2nd 2022</div>
<div>Main conference: 13-17 June 2022</div>
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<div>All deadlines are at the end of the day specified, anywhere on Earth (UTC-12).</div>
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<div>Keynotes </div>
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<div>Keynotes from Wendy Mackay (Professor of Human-Computer Interaction at Inria, Paris-Saclay) and Joanna Bryson (Professor of Ethics and Technology at the Hertie School, Berlin) have been confirmed. More information on keynotes will be posted at our website. </div>
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<div>Contact information</div>
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<div>Keep an eye out on our website for more information: https://www.hhai-conference.org/ </div>
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<div>General chair: Stefan Schlobach (VU)</div>
<div>Program chairs: Myrthe Tielman (TUDelft) & Maria Perez-Ortiz (UCL)</div>
<div>For questions, you can reach us at: hhai2022@easychair.org </div>
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<div>Steering committee: </div>
<div>Prof. Catholijn Jonker, TU Delft<span style="white-space:pre"> </span></div>
<div>Prof. Frank van Harmelen, Vrije Universiteit Amsterdam</div>
<div>Prof. James Crowley, Institut Polytechnique de Grenoble</div>
<div>Prof. John Shawe-Taylor, University College London, UNESCO Chair in AI<span style="white-space:pre">
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<div>Prof. Paul Lukowicz, German Research Center for Artificial Intelligence</div>
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