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, 2021Author Notification: May 25th, 2021Camera-Ready Paper Deadline: June 25th, 2021Workshop: 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.