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Hi All,</div>
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We are inviting contributions to the <i>Special Issue of IEEE Internet Computing</i> on "Humans Meet AI".</div>
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<b>Guest Editors</b></div>
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PInar Yolum (Lead Guest Editor), Utrecht University</div>
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Nadin Kokciyan, University of Edinburgh</div>
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Pradeep Murukannaiah, Delft University of Technology</div>
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<b>Important Dates</b></div>
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* Submission deadline: <b>1 May 2025</b></div>
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* Publication date: Nov/Dec 2025</div>
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More information about the Special Issue can be found here: <a href="https://www.computer.org/digital-library/magazines/ic/cfp-humans-meet-ai" id="OWA42ccc696-19c3-eeb7-2b2d-aa504e5b4efa" class="OWAAutoLink">
https://www.computer.org/digital-library/magazines/ic/cfp-humans-meet-ai</a></div>
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<b>Call for Papers</b></div>
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AI is influencing how we think about, carry out, and achieve a variety of tasks. From systems that recommend what to watch next to assistants that help write scientific articles to military applications that identify targets to hit, AI is challenging what it
means to be human. </div>
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This special issue invites papers on the broad theme of humans and AI working together. We are particularly interested in the following questions: How will humans interact with, use, and benefit from the AI systems of tomorrow? What are the challenges for
today’s AI and humans to work together? Social constructs such as empathy and respect are cornerstone for human-to-human interactions. What are the social constructs for human-AI collaborations? How would we model and reason on them? Would existing social
science and communication theories play a role in designing and realizing new generation human-AI collaboration? If so, what are methods to incorporate them into computational settings? </div>
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Topics of Interest include but not limited to: Models, methods, evaluation, and artifacts (such as testbeds and datasets) on</div>
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* Value-sensitive design and development of human-AI systems;</div>
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* Long-term human-AI collaboration, including sustainability and adaptation;</div>
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* Shared understanding (or misunderstanding) between humans and AI, e.g., how humans can navigate or even mislead AI (e.g., hiding information from AI);</div>
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* Positive (e.g., increased productivity) or negative (e.g., unemployment) impacts of human-AI systems;</div>
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* Usability, accessibility, adoptability, and inclusivity and human-AI systems;</div>
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* Ethical and social aspects of human-AI systems, including trust, fairness, explainability, and accountability.</div>
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The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.
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