Aesthetics of Uncertainty

Rosemary Lee

Aesthetics of Uncertainty

Rosemary Lee

Digital Design

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstrakt

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.

Originalsprog	Engelsk
Titel	Proceedings of the Conference on Computation, Communication, Aesthetics & X
Antal sider	6
Vol/bind	7
Forlag	Universidade de Porto, Portugal
Publikationsdato	9 okt. 2019
Sider	256-262
ISBN (Elektronisk)	9789897462207
Status	Udgivet - 9 okt. 2019
Begivenhed	Conference on Computation, Communication, Aesthetics & X (xCoAx) - Fabbrica del Vapore, Milan, Italien Varighed: 3 jul. 2019 → 5 jul. 2019 Konferencens nummer: 7 http://2019.xcoax.org

Konference

Konference	Conference on Computation, Communication, Aesthetics & X (xCoAx)
Nummer	7
Lokation	Fabbrica del Vapore
Land/Område	Italien
By	Milan
Periode	03/07/2019 → 05/07/2019
Internetadresse	http://2019.xcoax.org

Adgang til dokumentet

Lee_Rosemary_xCoAx2019Forlagets udgivne version, 232 KBLicens: CC BY-NC-SA

1 Tidsskriftartikel

Uncertainties in the Algorithmic Image
Lee, R., 29 dec. 2019, I: Journal of Science and Technology of the Arts (CITAR). 11, 2
Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Tidsskriftartikel › Forskning › peer review

Åben adgang
Fil

Citationsformater

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title = "Aesthetics of Uncertainty",

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{\textquoteright}s notion of aporia describes uncertainty as a precondition of dialectics. Expanding on Derrida{\textquoteright}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.",

keywords = "machine learning, art, uncertainty, aesthetics, aporia, uncanny",

author = "Rosemary Lee",

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publisher = "Universidade de Porto, Portugal",

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AB - 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.

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KW - art

KW - uncertainty

KW - aesthetics

KW - aporia

KW - uncanny

UR - http://2019.xcoax.org/xCoAx2019.pdf

M3 - Article in proceedings

VL - 7

SP - 256

EP - 262

BT - Proceedings of the Conference on Computation, Communication, Aesthetics & X

PB - Universidade de Porto, Portugal

T2 - Conference on Computation, Communication, Aesthetics & X (xCoAx)

Y2 - 3 July 2019 through 5 July 2019

ER -

Aesthetics of Uncertainty

Abstrakt

Konference

Adgang til dokumentet

Fingeraftryk

Publikation

Uncertainties in the Algorithmic Image

Citationsformater