Aesthetics of Uncertainty

Rosemary Lee

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

    Abstract

    Machine learning has a tendency to reveal inconsistencies which have transversal relevance bridging computer science with art and the humanities. Rather than purely situations of inconsistency, discrepancy, or malfunction, Derrida’s notion of aporia describes uncertainty as a precondition of dialectics. Expanding on Derrida’s line of thinking, this paper speculates that the internal frictions which can be found in artificial intelligence and machine learning systems may be understood in terms of a new kind of aesthetic informed by uncertainty.
    Original languageEnglish
    Title of host publicationProceedings of the Conference on Computation, Communication, Aesthetics & X
    Number of pages6
    Volume7
    PublisherUniversidade de Porto
    Publication date9 Oct 2019
    Pages256-262
    ISBN (Electronic)9789897462207
    Publication statusPublished - 9 Oct 2019
    EventConference on Computation, Communication, Aesthetics & X (xCoAx) - Fabbrica del Vapore, Milan, Italy
    Duration: 3 Jul 20195 Jul 2019
    Conference number: 7
    http://2019.xcoax.org

    Conference

    ConferenceConference on Computation, Communication, Aesthetics & X (xCoAx)
    Number7
    LocationFabbrica del Vapore
    Country/TerritoryItaly
    CityMilan
    Period03/07/201905/07/2019
    Internet address

    Keywords

    • machine learning
    • art
    • uncertainty
    • aesthetics
    • aporia
    • uncanny

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