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Aesthetics of Uncertainty

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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, Portugal
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)
Nummer7
LocationFabbrica del Vapore
LandItaly
ByMilan
Periode03/07/201905/07/2019
Internetadresse
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    Research areas

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

Research outputs (1)

  1. Published

    Uncertainties in the Algorithmic Image

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

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