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DOOR: Ethnicity in Artificial Intelligence

Published: 17 March 2019 Publication History

Abstract

DOOR is an artwork that aims at exposing some of the social and political impact of artificial intelligence, computer vision, and automation. The project uses a commercially available computer vision system that predicts the interactor's ethnicity, and locks or unlocks itself depending on this prediction. The artwork showcases a possible use of computer vision making explicit the fact that every technological implantation crystallises a political worldview.

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Cited By

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  • (2022)AI bias in Human-Robot Interaction: An evaluation of the Risk in Gender Biased Robots2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN53752.2022.9900673(1598-1605)Online publication date: 29-Aug-2022

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  1. DOOR: Ethnicity in Artificial Intelligence

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    cover image ACM Conferences
    TEI '19: Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction
    March 2019
    785 pages
    ISBN:9781450361965
    DOI:10.1145/3294109
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 17 March 2019

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    Author Tags

    1. artificial intelligence
    2. computer vision
    3. ethnicity
    4. interactive art

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    • Extended-abstract

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    • Council of the Hong Kong Special Administrative Region China.

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    TEI '19
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    TEI '19 Paper Acceptance Rate 36 of 110 submissions, 33%;
    Overall Acceptance Rate 393 of 1,367 submissions, 29%

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    View all
    • (2022)AI bias in Human-Robot Interaction: An evaluation of the Risk in Gender Biased Robots2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN53752.2022.9900673(1598-1605)Online publication date: 29-Aug-2022

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