Journal of Digital Landscape Architecture

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Problematizing AI Omnipresence in Landscape Architecture

This position paper argues for, and offers, a critical lens through which to examine the current AI frenzy in the landscape architecture profession. In it, the authors propose five archetypes or mental modes that landscape architects might inhabit when thinking about AI. Rather than limiting judgments of AI use to a single axis of acceleration, these archetypes and corresponding narratives exist along a relational spectrum and are permeable, allowing LAs to take on and switch between them according to context. We model these relationships between the archetypes and their contributions to AI advancement using a causal loop diagram (CLD), and with those interactions argue that more nuanced ways of approaching AI might also open new modes of practice in the new digital economy.

Autor / Author: Fernberg, Phillip; Zhang, Zihao
Institution / Institution: Utah State University, Utah/USA & 2OJB Landscape Architecture, California/USA; City College of New York, New York/USA
Seitenzahl / Pages: 8
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA – Journal of Digital Landscape Architecture, 9-2024
Tagung / Conference: Digital Landscape Architecture 2024 – New Trajectories in Computational Urban Landscapes and Ecology
Veranstaltungsort, -datum / Venue, Date: Vienna University of Technology, Austria 05-06-24 - 07-06-24
Schlüsselwörter (de):
Keywords (en): Artificial intelligence, landscape architecture, system dynamics, mental models
Paper review type: Full Paper Review
DOI: doi:10.14627/537752069
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