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    Robots and Racism [Podcast] (2019)

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    Published version (59.19Mb)
    Type of Content
    Media
    UC Permalink
    http://hdl.handle.net/10092/16806
    
    Publisher's DOI/URI
    https://doi.org/10.17605/OSF.IO/7KFRZ
    
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    • HITLab: Other [26]
    Authors
    Bartneck, Christoph cc
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    Abstract

    Racism is a major problem in our society and it is an issue from which the HRI community cannot shy away from. Several studies showed that people transfer their racial biases onto robots. In this episode we will talk about these difficult topics of racism and sexism. My guest are Kumar Yogeeswaran, Friederike Eyssel and Megan Strait. They all work on racism among humans and towards robots. Besides identifying the biases we also talk about how and if robots might be able to help reducing them.

    Citation
    Bartneck C. Robots and Racism. [MP3].
    This citation is automatically generated and may be unreliable. Use as a guide only.
    ANZSRC Fields of Research
    08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080101 - Adaptive Agents and Intelligent Robotics
    09 - Engineering::0906 - Electrical and Electronic Engineering::090602 - Control Systems, Robotics and Automation
    16 - Studies in Human Society::1601 - Anthropology::160104 - Social and Cultural Anthropology
    17 - Psychology and Cognitive Sciences::1701 - Psychology::170113 - Social and Community Psychology
    16 - Studies in Human Society::1608 - Sociology::160803 - Race and Ethnic Relations

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    • Robots and racism 

      Bartneck, Christoph; Yogeeswaran K; Ser QM; Woodward G; Sparrow R; Wang S; Eyssel F (2018)
      Most robots currently being sold or developed are either stylized with white material or have a metallic appearance. In this research we used the shooter bias paradigm and several questionnaires to investigate if people ...
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      This study presents the result of a cross-cultural study of negative attitude towards robots. A questionnaire was presented to Dutch, Chinese, German, Mexican, American (USA) and Japanese participants based on the Negative ...
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