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dc.contributor.authorPoltronieri, Fabrizio Augusto
dc.contributor.authorHanska Ahy, Maximillian
dc.date.accessioned2019-10-10T10:49:50Z
dc.date.available2019-10-10T10:49:50Z
dc.date.issued2019-10-23
dc.identifier.citationPoltronieri, F.A., Hanska, M. (2019) Technical Images and Visual Art in the Era of Artificial Intelligence: From GOFAI to GANs. ARTECH 2019 - 9th International Conference on Digital and Interactive Arts, Braga, Portugal, October 2019.en
dc.identifier.isbn9781450372503
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/18607
dc.description.abstractArtificial Intelligence (AI) and art share a common past, where artists employed AI algorithms to generate art. This paper explores the early days of AI-generated images, using Harold Cohen’s AARON software as a paradigm of symbolic AI creative systems, and contextualizes the use of modern neural network technologies to create visual artworks. It discusses the methodologies and strategies used to make art using AI in the 1960s, comparing them to new AI algorithms. The discussion focuses on GOFAI (Good Old Fashioned Artificial Intelligence) and GANs (Generative Adversarial Networks) as the main technologies used in distinct historical periods to generate images. Vilém Flusser’s conception of technical images provides a conceptual framework for examining the qualities and attributes of AI-generated images.en
dc.language.isoenen
dc.publisherACMen
dc.subjecttechnical imagesen
dc.subjectdeep learningen
dc.subjectgood old fashioned artificial intelligenceen
dc.subjectapparatusesen
dc.subjectcreative AIen
dc.titleTechnical Images and Visual Art in the Era of Artificial Intelligence: From GOFAI to GANsen
dc.typeConferenceen
dc.peerreviewedYesen
dc.funderNo external funderen
dc.cclicenceCC-BY-NCen
dc.date.acceptance2019-09-13
dc.researchinstituteInstitute of Creative Technologies (IOCT)en
dc.exception.ref2021codes253aen


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