Mežs

dc.contributor.advisorPsarra, Afroditi
dc.contributor.authorVitols, Rihards
dc.date.accessioned2022-01-26T23:20:29Z
dc.date.available2022-01-26T23:20:29Z
dc.date.issued2022-01-26
dc.date.submitted2021
dc.descriptionThesis (Ph.D.)--University of Washington, 2021
dc.description.abstract“Mežs” is an artistic research project that explores the use of artificial intelligence (AI) and machine learning (ML) algorithms in generative art. This dissertation project, namely, investigates how creating a custom training dataset, which is an ML system, can generate audiovisual and textual material that can form the basis of the artwork itself. The dissertation consists of a series of artworks: the first work is an interactive online archive of trees and their soundscapes; the three future iterations are a time-based works that demonstrate how the world could look like with the new generated tree species; an augmented reality iteration; and a book archiving all the previously generated materials.In my dissertation, I am researching a repertoire of artists who created their works with the help of AI, and specifically on artworks that deal with artificial ecology, speculative futures, and critical design. The research of my dissertation investigates artists creating art machines and speculative futures, collaborating with generative organizations and artificial life in the field of critical ecologies.
dc.embargo.termsOpen Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherVitols_washington_0250E_23807.pdf
dc.identifier.urihttp://hdl.handle.net/1773/48156
dc.language.isoen_US
dc.relation.haspartmezs.mp4; video; documentation of mezs.ai.
dc.rightsCC BY-NC-ND
dc.subjectArtificial intelligence
dc.subjectCritical Ecology
dc.subjectDigital art
dc.subjectFuture of Forests
dc.subjectGenerative art
dc.subjectSpeculative art
dc.subjectDesign
dc.subjectArtificial intelligence
dc.subjectEcology
dc.subject.otherDigital arts and experimental media
dc.titleMežs
dc.typeThesis

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