About |
|
Deception and its consequences are currently being enhanced by artificial intelligence (AI). Deceptive machines seem to be transitioning from a conceptual reality into our cyber, virtual or physical realities in various forms: DeepFakes, GTP2, troll-bots. Fortunately (and also unfortunately), AI is still being used in the form of machine learning tools in the hands of humans that reason and act deceptively. However, the continuous advancement of AI might lead to truly autonomous deceptive machines that possess the ability to reason and act dishonestly without human involvement. These kinds of deceptive machines first appear as concepts in Alan Turing’s Imitation Game. [...] it is played with three people, a man (A), a woman(B), and an interrogator (C) who may be of either sex. The interrogator stays in a room apart from the other two...It is A’s object in the game to try and cause C to make the wrong identification. His answer might therefore be 'My hair is shingled, and the longest strands are about nine inches long...' (Alan Turing, Computing Machinery and Intelligence, 1950) As a future scenario example, it is fairly easy to imagine artificial agents that exploit human societies in order to extract rewards, e.g. deceiving humans into voting for an entity that the machines consider to be a necessary step into achieving an ulterior goal. It may be possible that such autonomous systems might emerge from complex social interactions which they will eventually be able to manipulate according to their will. Even the intention of generation and dissemination of fake news will cease to belong exclusively to humans, when/if these autonomous agents develop their own reasons to deceive. The distinction between deceptive AI tools and deceptive AI agents will also fade away, increasing the difficulty of determining the identity of fake news authors as well as the difficulty of preventing their dishonest actions and/or holding them accountable. DeceptECAI aims to bring together specialists from multiple disciplines in order to try to understand the various forms of deceptive machines and to address their potential threats to society. The format of the workshop will mainly consist of paper presentations of peer-reviewed papers followed by discussion. However, each presented paper will have an assigned respondent that will prepare in advance both questions and constructive feedback as a response to the paper presentation. In this way, we will make sure that every presented paper will be guaranteed to receive feedback from the audience. In addition to this, we aim to have a panel to discuss the following question: How do we hold deceptive machines accountable? |
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? We invite submissions related to deception in the following topic areas, but not restricted to these:
Submissions & Format
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 Lecture Notes in Computer Science LNCS/LNAI style and submitted through the EasyChair link below. Submission Link - https://easychair.org/conferences/?conf=deceptecai2020 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 Any questions about the submissions should be addressed to: [email protected] |
Summary |
|
DeceptECAI 2020 : 1st International Workshop on Deceptive AI @ ECAI2020 will take place in Santiago de Compostela, Spain. It’s a 1 day event starting on Jun 09, 2020 (Tuesday) and will be winded up on Jun 09, 2020 (Tuesday). DeceptECAI 2020 falls under the following areas: ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, COGNITIVE SCIENCE, ETHICS, etc. Submissions for this Workshop can be made by Feb 21, 2020. Authors can expect the result of submission by Mar 31, 2020. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the DeceptECAI 2020
|
Credits and Sources |
| [1] DeceptECAI 2020 : 1st International Workshop on Deceptive AI @ ECAI2020 |
