2nd International Workshop on Deceptive AI @IJCAI2021 (Yellow1 in Gathertown!!)

(will be held fully online)

19 Aug 2021


Important Dates

  • NEW Submission Deadline: May 14th, 2021

  • Author Notification: May 25th, 2021

  • Camera-Ready Paper Deadline: June 25th, 2021

  • Workshop: August 19th 2021

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 DeceptAI is to bring together people from academia, industry and policy-making to discuss and disseminate the current and future threats, risks, benefits and challenges of designing deceptive AI. The workshop proposes a multidisciplinary (Computer Science, Psychology, Sociology, Philosophy & Ethics, Military Studies, Law etc.) approach to discuss the following aspects of deceptive AI:

  • Behaviour

    • What type of machine behaviour should be considered deceptive?

    • How do we study deceptive behaviour in machines as opposed to humans?

  • Reasoning

    • What kind of reasoning mechanisms lie behind deceptive behaviour?

    • What type of reasoning mechanisms are more prone to deception?

  • Cognition

    • How does cognition affect deception and how does deception affect cognition?

    • What function, if any, do agent cognitive architectures play in deception?

  • AI, Ethics & 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?

  • Engineering Principles

    • How should we engineer autonomous agents such that we are able to know why and when they deceive?

    • Why should or shouldn't we engineer or model deceptive machines?

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

  • Human-Robot Interaction - HRI

  • 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 (Cybersecurity, Social Media, Social Engineering, etc.)

Types of Submissions

  • Long papers (16 pages + references): Long papers should present original research work and be around sixteen pages for the main text of the paper (including all figures but excluding references), and one or two additional pages for references.

  • Short papers (8 pages + references): Short papers may report on works in progress. Short paper submissions should be no longer than nine pages in total: eight pages for the main text of the paper (including all figures but excluding references), and one or two additional pages for references.

  • Position Papers (2-6 pages): Position papers can discuss research challenges or research domains related to deception in AI. We are keeping this category relatively open and welcome various perspectives.


Note the formatting has wide margins making the page length much longer than expected. 5 pages is equivalent to 2 pages in IJCAI's formatting.


All papers will be reviewed by at least two members of the Program Committee. All papers should be formatted following the Springer Lecture Notes in Computer Science LNCS/LNAI style and submitted through the EasyChair link below.


LNCS Latex: ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip

LNCS Word: ftp://ftp.springernature.com/cs-proceeding/llncs/word/splnproc1703.zip


Easychair Submission Link: easychair.org/conferences/?conf=deceptai2021

Publication

We aim to have the DeceptAI 2021 Proceedings submitted to Springer CCIS for publication. CCIS is indexed by various A&I services, e.g., Scopus, EI-Compendex, DBLP, etc.