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<table><tbody><tr><td><div><span style="font-size:18pt">DeceptECAI2020: 1st International Workshop on Deceptive AI @ECAI2020</span></div>
<div>University of Santiago de Compostela</div>
<div>Santiago de Compostela, Spain, June 8-9, 2020</div>
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<td>Conference website:</td>
<td><a href="https://sites.google.com/view/deceptecai2020/home" target="_blank" rel="noopener noreferrer">https://sites.google.com/view/deceptecai2020/home</a></td>
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<td>Submission link:</td>
<td><a href="https://easychair.org/conferences/?conf=deceptecai2020" target="_blank" rel="noopener noreferrer">https://easychair.org/conferences/?conf=deceptecai2020</a></td>
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<td>Submission deadline:</td>
<td>February 21, 2020</td>
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<td>Notification of acceptance:</td>
<td>March 31, 2020</td>
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<div><b><span style="font-size:18pt">Call for Papers</span></b><br>
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<div><a href="https://easychair.org/cfp/topic.cgi?a=23836792;tid=7249426" target="_blank" rel="noopener noreferrer"><span><br>
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<p dir="ltr" style="margin-top:0px;margin-bottom:0px"><span style="font-size:11pt;font-family:Arial">There
 is no dominant theory of deception. The literature on deception treats 
different aspects and components of deception separately, sometimes 
offering contradictory
 evidence and opinions on these components. Emerging AI techniques offer
 an exciting and novel opportunity to expand our understanding of 
deception from a computational perspective. However, the design, 
modelling and engineering of deceptive machines is not
 trivial from either conceptual, engineering, scientific, or ethical 
perspectives. The aim of DeceptECAI is to bring together people from 
academia, industry and policy-making in order to discuss and disseminate
 the current and future threats, risks, and even
 benefits of designing deceptive AI. The workshop proposes a 
multidisciplinary approach (Computer Science, Psychology, Sociology, 
Philosophy & Ethics, Military Studies, Law etc.) to discuss the 
following aspects of deceptive AI:</span></p>
<p dir="ltr" style="margin-top:0px;margin-bottom:0px"><strong>1) Behaviour</strong><span style="font-size:11pt;font-family:Arial">
 - What type of machine behaviour should be considered deceptive? How do
 we study deceptive behaviour in machines as opposed to humans?</span></p>
<p dir="ltr" style="margin-top:0px;margin-bottom:0px"><strong>2) Reasoning</strong><span style="font-size:11pt;font-family:Arial">
 - What kind of reasoning mechanisms lie behind deceptive behaviour? 
Also, what type of reasoning mechanisms are more prone to deception?</span></p>
<p dir="ltr" style="margin-top:0px;margin-bottom:0px"><strong>3) Cognition</strong><span style="font-size:11pt;font-family:Arial">
 - How does cognition affect deception and how does deception affect 
cognition? Also, what function, if any, do agent cognitive architectures
 play in deception?</span></p>
<p dir="ltr" style="margin-top:0px;margin-bottom:0px"><strong>4) AI & Society</strong><span style="font-size:11pt;font-family:Arial">
 - How does the ability of machines to deceive influence society? What 
kinds of measures do we need to take in order to neutralise
 or mitigate the negative effects of deceptive AI?</span></p>
<p style="margin-top:0px;margin-bottom:0px"><strong>5) Engineering Principles</strong><span style="font-size:11pt;font-family:Arial">
 - How should we engineer autonomous agents such that we are able to 
know why and when they deceive? Also, why should or shouldn’t
 we engineer or model deceptive machines?</span></p>
<h2>Submission Guidelines</h2>
<p style="margin-top:0px;margin-bottom:0px">All papers must be original and not simultaneously submitted to another journal or conference.</p>
<p dir="ltr" style="text-align:justify;margin-top:0px;margin-bottom:0px"><span style="font-size:11pt;font-family:Arial">Submissions are NOT anonymous. The names and affiliations of the authors should be stated in the manuscript.</span></p>
<p style="margin-top:0px;margin-bottom:0px"><span style="font-size:11pt;font-family:Arial">All papers should be formatted following the Springer</span><a href="https://www.springer.com/gb/computer-science/lncs/conference-proceedings-guidelines" target="_blank" rel="noopener noreferrer"><span style="font-size:11pt;font-family:Arial"></span><u>LNCS/LNAI
 guidelines</u></a><span style="font-size:11pt;font-family:Arial"> and submitted through EasyChair.</span></p>
<p style="margin-top:0px;margin-bottom:0px">The following paper categories are welcome:</p>
<ul><li><strong>Long papers </strong><strong>(12 pages + 1 page references):</strong><span style="font-size:11pt;font-family:Arial"> Long papers should </span><span style="font-size:11pt;font-family:Arial">present original research work and be no longer than
 thirteen pages in </span><span style="font-size:11pt;font-family:Arial">total: twelve pages for the main text of the paper (including all </span><span style="font-size:11pt;font-family:Arial">figures but excluding references), and one additional page for </span><span style="font-size:11pt;font-family:Arial">references.
</span></li><li><strong>Short papers </strong><strong>(7 pages + 1 page references):</strong><span style="font-size:11pt;font-family:Arial"> Short papers may </span><span style="font-size:11pt;font-family:Arial">report on works in progress. Short paper submissions should
 be no </span><span style="font-size:11pt;font-family:Arial">longer than eight pages in total: seven pages for the main text of the </span><span style="font-size:11pt;font-family:Arial">paper (including all figures but excluding references), and one </span><span style="font-size:11pt;font-family:Arial">additional
 page for references. </span></li><li><strong>Position papers</strong><span style="font-size:11pt;font-family:Arial"> regarding potential </span><span style="font-size:11pt;font-family:Arial">research challenges are also welcomed in either long or short paper </span><span style="font-size:11pt;font-family:Arial">format.</span></li></ul>
<h2>List of Topics</h2>
<ul><li>Deceptive Machines</li><li><span style="font-size:11pt;font-family:Arial">Multi-Agent Systems and Agent-Based Models
</span></li><li><span style="font-size:11pt;font-family:Arial">Trust and Security in AI</span></li><li><span style="font-size:11pt;font-family:Arial">Machine Behaviour</span></li><li><span style="font-size:11pt;font-family:Arial">Argumentation</span></li><li><span style="font-size:11pt;font-family:Arial">Machine Learning</span></li><li><span style="font-size:11pt;font-family:Arial">Explainable AI - XAI</span></li><li><span style="font-size:11pt;font-family:Arial">Human-Computer(Agent) Interaction - HCI/HAI</span></li><li><span style="font-size:11pt;font-family:Arial">Philosophical, Psychological, and Sociological aspects</span></li><li><span style="font-size:11pt;font-family:Arial">Ethical, Moral, Political, Economical, and Legal aspects</span></li><li><span style="font-size:11pt;font-family:Arial">Storytelling and Narration in AI</span></li><li><span style="font-size:11pt;font-family:Arial">Computational Social Science</span></li><li><span style="font-size:11pt;font-family:Arial">Applications related to deceptive AI</span></li></ul>
<h2>Committees</h2>
<h3>Organizing committee</h3>
<ul><li><span style="font-size:11pt;font-family:Arial">Stefan Sarkadi - King’s College London, UK</span></li><li><span style="font-size:11pt;font-family:Arial">Peter McBurney - King’s College London, UK</span></li><li><span style="font-size:11pt;font-family:Arial">Liz Sonenberg - University of Melbourne, Australia</span></li><li><span style="font-size:11pt;font-family:Arial">Iyad Rahwan - </span>Max Planck Institute for Human Development & MIT
<span style="font-size:11pt;font-family:Arial">, Germany & USA</span></li></ul>
<h2>Publication</h2>
<p style="margin-top:0px;margin-bottom:0px">DeceptECAI2020 proceedings will be <span style="font-size:11pt;font-family:Arial">
submitted to Springer LNCS/LNAI for publication.</span></p>
<h2>Contact</h2>
<p style="margin-top:0px;margin-bottom:0px">All questions about submissions should be emailed to
<span style="font-size:11pt;font-family:Arial"><a href="mailto:stefan.sarkadi@kcl.ac.uk">stefan.sarkadi@kcl.ac.uk</a></span></p>

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