[agents] DeceptECAI2020 - Second Call for Papers (DEADLINE EXTENDED)

[Stefan Sarkadi]

*DeceptECAI2020: 1st International Workshop on Deceptive AI @ECAI2020*,
Santiago de Compostela, Spain, June 9, 2020

Conference website https://sites.google.com/view/deceptecai2020/home
Submission link https://easychair.org/conferences/?conf=deceptecai2020
Submission deadline *March 5, 2020*
Notification of acceptance *April 5, 2020*

<https://easychair.org/cfp/topic.cgi?a=23836792;tid=7249426>

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:

*1) Behaviour* - What type of machine behaviour should be considered
deceptive? How do we study deceptive behaviour in machines as opposed to
humans?

*2) Reasoning* - What kind of reasoning mechanisms lie behind deceptive
behaviour? Also, what type of reasoning mechanisms are more prone to
deception?

*3) Cognition* - How does cognition affect deception and how does deception
affect cognition? Also, what function, if any, do agent cognitive
architectures play in deception?

*4) AI & Society* - 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?

*5) Engineering Principles* - 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?
Submission Guidelines

All papers must be original and not simultaneously submitted to another
journal or conference.

Submissions are NOT anonymous. The names and affiliations of the authors
should be stated in the manuscript.

All papers should be formatted following the Springer *LNCS/LNAI guidelines*
<https://www.springer.com/gb/computer-science/lncs/conference-proceedings-guidelines>
and submitted through EasyChair.

The following paper categories are welcome:

   - *Long papers **(12 pages + 1 page references):* Long papers should present
   original research work and be no longer than thirteen pages in total:
   twelve pages for the main text of the paper (including all figures but
   excluding references), and one additional page for references.
   - *Short papers **(7 pages + 1 page references):* Short papers may report
   on works in progress. Short paper submissions should be no longer than
   eight pages in total: seven pages for the main text of the paper
   (including all figures but excluding references), and one additional
   page for references.
   - *Position papers* regarding potential research challenges are also
   welcomed in either long or short paper format.

List of Topics

   - Deceptive Machines
   - Multi-Agent Systems and Agent-Based Models
   - Trust and Security in AI
   - Machine Behaviour
   - Argumentation
   - Machine Learning
   - Explainable AI - XAI
   - Human-Computer(Agent) Interaction - HCI/HAI
   - Philosophical, Psychological, and Sociological aspects
   - Ethical, Moral, Political, Economical, and Legal aspects
   - Storytelling and Narration in AI
   - Computational Social Science
   - Applications related to deceptive AI

Organizing committee

   - Stefan Sarkadi - King’s College London, UK
   - Peter McBurney - King’s College London, UK
   - Liz Sonenberg - University of Melbourne, Australia
   - Iyad Rahwan - Max Planck Center for Humans and Machines, Germany

Publication

DeceptECAI2020 proceedings will be submitted to Springer LNCS/LNAI for
publication.
Contact

All questions about submissions should be emailed to
stefan.sarkadi at kcl.ac.uk
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