Digital provenance and material metadata: Attribution and co-authorship in the age of artificial intelligence
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The Department offers a five-year program leading to the Bachelor of Architecture degree. The program provides opportunities for general education as well as preparation for professional practice and/or graduate study.
The Department of Architecture offers two graduate degrees in architecture: a three-year accredited professional degree (MArch) and a two-semester to three-semester research degree (MS in Arch). Double-degree programs are currently offered with the Department of Community and Regional Planning (MArch/MCRP) and the College of Business (MArch/MBA).
History
The Department of Architecture was established in 1914 as the Department of Structural Design in the College of Engineering. The name of the department was changed to the Department of Architectural Engineering in 1918. In 1945, the name was changed to the Department of Architecture and Architectural Engineering. In 1967, the name was changed to the Department of Architecture and formed part of the Design Center. In 1978, the department became part of the College of Design.
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1914–present
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- Department of Structural Design (1914–1918)
- Department of Architectural Engineering (1918–1945)
- Department of Architecture and Architectural Engineering (1945–1967)
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- College of Design (parent college)
- College of Engineering(previous college, 1914–1978)
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Abstract
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.
Comments
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. International Journal of Architectural Computing 16(4);271-280. Doi:10.1177/1478077118800887. Posted with permission.