Architecture Publications

Campus Units

Architecture

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

11-28-2018

Journal or Book Title

International Journal of Architectural Computing

Volume

16

Issue

4

First Page

271

Last Page

280

DOI

10.1177/1478077118800887

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.

Copyright Owner

Sage Journals

Language

en

File Format

application/pdf

Published Version

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