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  • AI Bugs and Failures: How and Why to Render AI-Algorithms More Human?

    Alkim Almila Akdag Salah

    Chapter from the book: Verdegem, P. 2021. AI for Everyone?: Critical Perspectives.

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    AI systems such as self-driving cars, or autonomous lethal weapons are expected to work in a framework called ‘explainable AI’, under meaningful human control, in a fail-proof way. In this chapter, the author discusses case studies where the opposite framework will prove more beneficial: i.e. in certain contexts, such as cultural and artistic production or social robotics, AI systems might be considered humanlike if they deliberately take on human traits: to bluff, to joke, to hesitate, to be whimsical, unreliable, unpredictable, and above all to be creative. In order to uncover why we need ‘humanlike’ traits -especially bugs & failures, the chapter considers representations of intelligent machines in the imagination of popular culture, and the deeply ingrained fear of the machine as the ‘other’.

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    Akdag Salah, A. 2021. AI Bugs and Failures: How and Why to Render AI-Algorithms More Human?. In: Verdegem, P (ed.), AI for Everyone?. London: University of Westminster Press. DOI: https://doi.org/10.16997/book55.j
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    Published on Sept. 20, 2021

    DOI
    https://doi.org/10.16997/book55.j