Digital provenance and material metadata: Attribution and co-authorship in the age of artificial intelligence

dc.contributor.author Doyle, Shelby
dc.contributor.author Senske, Nicholas
dc.contributor.department Department of Architecture
dc.date 2019-12-12T20:16:52.000
dc.date.accessioned 2020-06-29T23:43:56Z
dc.date.available 2020-06-29T23:43:56Z
dc.date.copyright Mon Jan 01 00:00:00 UTC 2018
dc.date.issued 2018-11-28
dc.description.abstract <p>This speculative essay examines a single drawing, produced in a collaboration between the authors and a Turtle robot, in a search for methods to evaluate and document provenance in artificial intelligence and robotic design. Reflecting upon the layers of authorship in our case study reveals the complex relationship that already exists between human and machine collaborators. In response to this unseen provenance, we propose new modes to document the full range of creative contribution to the design and production of artifacts from intellectual inputs to digital representations to physical labor. A more comprehensive system for artificial intelligence/robotic attribution could produce counter-narratives to technological development which more fully acknowledge the contributions of both humans and machines. As artificially intelligent design technologies distinguish themselves with distinct capabilities and eventual autonomy, a system of embedded attribution becomes the basis for human–machine collaboration, indeterminacy, and unexpected new applications for existing tools and methods.</p>
dc.description.comments <p>This accepted article is published as Shelby Doyle & Nicholas Senske Digital Provenance and Material Metadata: attribution and co-authorship in the age of artificial intelligence. <em>International Journal of Architectural Computing</em> 16(4);271-280. Doi:<a target="_blank">10.1177/1478077118800887</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/arch_pubs/104/
dc.identifier.articleid 1103
dc.identifier.contextkey 15978824
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath arch_pubs/104
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/10313
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/arch_pubs/104/2018_SenskeN_manu__Digital_Provenance_and_Material_Metadata.pdf|||Fri Jan 14 18:20:28 UTC 2022
dc.source.uri 10.1177/1478077118800887
dc.subject.disciplines Architectural Engineering
dc.subject.disciplines Architectural Technology
dc.subject.disciplines Computer and Systems Architecture
dc.subject.disciplines Data Storage Systems
dc.subject.disciplines Robotics
dc.subject.keywords Artificial intelligence
dc.subject.keywords robotics
dc.subject.keywords metadata
dc.subject.keywords attribution
dc.subject.keywords co-authorship
dc.subject.keywords ethics
dc.title Digital provenance and material metadata: Attribution and co-authorship in the age of artificial intelligence
dc.type article
dc.type.genre article
dspace.entity.type Publication
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relation.isOrgUnitOfPublication 178fd825-eef0-457f-b057-ef89eee76708
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