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    Different XAI for different HRI

    Access Status
    Fulltext not available
    Authors
    Sheh, Raymond
    Date
    2017
    Type
    Conference Paper
    
    Metadata
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    Citation
    Sheh, R. 2017. Different XAI for different HRI, The Association for the Advancement of Artificial Intelligence 2017 Fall Symposium Series (AAAI 2017), pp. 114-117.
    Source Title
    AAAI Fall Symposium - Technical Report
    Source Conference
    The Association for the Advancement of Artificial Intelligence 2017 Fall Symposium Series (AAAI 2017)
    ISBN
    9781577357940
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/67997
    Collection
    • Curtin Research Publications
    Abstract

    Copyright © 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. Artificial Intelligence (AI) has become more widespread in critical decision making at all levels of robotics, along with demands that the agent also explain to us humans why they do what they do. This has driven renewed interest in Explainable Artificial Intelligence (XAI). Much work exists on the Human-Robot Interaction (HRI) challenges of creating and presenting explanations to different human users in different applications but matching these up with AI and Machine Learning (ML) techniques that can provide the underlying explanatory information can still be a challenge. In this short paper, we present a categorisation of explanations that communicate the XAI requirements of various users and applications, and the XAI capabilities of various underlying AI and ML techniques.

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