DeceptECAI 2020 : 1st International Workshop on Deceptive AI @ ECAI2020

  in Conferences   Posted on January 24, 2020

Conference Information

Submission Deadline Friday 21 Feb 2020 Proceedings indexed by :
Conference Dates Jun 9, 2020 - Jun 9, 2020
Conference Address Santiago de Compostela, Spain
Conference & Submission Link https://sites.google.com/view/deceptecai2020/home
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

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

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.

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

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

All papers should be formatted following the Springer Lecture Notes in Computer Science LNCS/LNAI style and submitted through the EasyChair link below.

Submission Link – https://easychair.org/conferences/?conf=deceptecai2020

Publication

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 Institute for Human Development & MIT , Germany & USA

Publication

DeceptECAI2020 Proceedings shall be submitted to Springer LNCS/LNAI for publication.

We also plan a Special Issue on the topic of Deceptive AI in a highly-ranked AI journal. Authors of selected papers will be invited to submit extended versions of their papers to this special issue.

Contact

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

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