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活动简介

About IIKE

The 1st International Workshop on Intelligence & Interaction in Knowledge Engineering (IIKE 2018) will take place in Laguna Hills, California, USA on October 1-3, 2018, in conjunction with the 1st IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2018).

Motivation

Recent efforts in knowledge engineering and machine learning have largely focused on improving the accuracy and efficiency of reasoning and learning algorithms, where many automated techniques are perceived as a black box to the human with little justification or means to intervene in various stages of the recommendation and decision-making process such as pre- and post-processing. This lack of ability to explain to the human why a certain output was generated has potentially limited the effectiveness and reliability of knowledge-based systems. This is echoed by DARPA’s recent initiative on Explainable Artificial Intelligence (XAI) as well as the growing area of Interactive Machine Learning (IML), which call for a new generation of intelligent systems that are human-centered with explainable models and interactive interfaces enabling the human to understand, engage with, and influence the underlying algorithms. As such, appropriate integrations of human computer interaction (HCI) techniques lie at the center of knowledge-based systems, where interactive data visualization and analytical techniques may provide a necessary semantically meaningful platform for humans to better understand, explore, correct and modify intelligent models in the decision-making process. The 1st International Workshop on Intelligence & Interaction in Knowledge Engineering (IIKE) aims to bring researchers interested in interactive and explainable intelligent models, theories, and techniques that facilitate and accelerate research in all aspects of knowledge engineering for intelligent systems to exchange ideas, approaches, results, and cross-disciplinary collaboration. 

Publication

Accepted papers will be included in the workshops section of the AIKE proceedings. Submissions should contain only original material where copyright of all parts is owned by the authors declared and is not currently under review elsewhere, governed by the IEEE policies. In addition, every paper accepted for publication in the workshops section of the proceedings of AIKE 2018 MUST be presented during the conference. 

组委会

Program Committee

  • Attard Judie, Trinity College Dublin, Ireland

  • Rob Brennan, Trinity College Dublin, Ireland

  • Lei Cai, Washington State University, USA

  • Jeremy Debattista, Trinity College Dublin, Ireland

  • Milan Dojchinovski, University of Leipzig, Germany

  • Luis Espinosa-Anke, Cardiff University, United Kingdom

  • Enamul Hoque, Stanford University, USA

  • Andreas Hotho, University of Würzburg, Germany

  • Hao Ji, California State Polytechnic University, Pomona, USA

  • Antti Knutas, Lappeenranta University of Technology, Finland

  • Freddy Lecue, Accenture Technology Labs, Ireland

  • Killian Levacher, IBM Research, Ireland

  • Mengting Liu, University of Southern California, USA

  • Harshvardhan Jitendra Pandit, Trinity College Dublin, Ireland

  • Declan O'Sullivan, Trinity College Dublin, Ireland

  • Melike Sah, Near East University, North Cyprus

Organizing committee

征稿信息

All submitted papers must

  • be written in English
  • contain author names, affiliations, and email addresses
  • be formatted according to the double-column IEEE format and follow the instructions in the Manuscript Formatting and Templates
  • be in PDF (make sure that the PDF can be viewed on any platform), and formatted for US Letter size
  • occupy no more than 6 pages for long papers, 4 pages for short papers, or 2 pages for demo/poster papers including the abstract, appendices, and references.

征稿范围

Themes of interest include, but are not limited to, the following areas:

  • Interaction in knowledge discovery, representation, acquisition, and integration
  • Human-centered knowledge systems
  • Explanation of reasoning strategies & interactive debugging techniques
  • Knowledge-driven AI Governance
  • Human-centered knowledge discovery, representation, acquisition, and integration
  • Collaborative technologies
  • Policy Models
  • Explainability measures of learning models
  • Transparency and feedback in ML
  • Trust assessment in intelligent system
  • Interactive clustering
  • Applications of deep learning
  • Natural language processing
  • Visual recognition and detection
  • Computational neuroscience
  • Evaluation strategies, models, and approaches
  • Interactive techniques
  • Data and knowledge visualization & visual analytics 
  • Cognitive modeling
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重要日期
  • 会议日期

    10月01日

    2018

    10月03日

    2018

  • 10月03日 2018

    注册截止日期

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