| id |
acadia20_698 |
| authors |
Kimm, Geoff; Burry, Mark |
| year |
2020 |
| title |
Steering into the Skid |
| source |
ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 698-707. |
| doi |
https://doi.org/10.52842/conf.acadia.2020.1.698
|
| summary |
What if any perceived risks of lost authorship and artistic control posed by a wholesale embrace of artificial intelligence by the architectural profession were instead opportunities? AI’s potential to automate design has been pursued for over 50 years, yet aspirations of early researchers are not fully realized. Nonetheless, AI’s advances continue to be rapid; it is an increasingly viable adjunct to architectural practice, and there are fundamental reasons for why the perceived “risks” of AI cannot be dismissed lightly. Architects’ professional role at the intersection of social issues and technology, however, may allow them to avoid the obsolescence faced by other roles. To do this, we propose architects responsively arbitrage an ever-changing gap between maturing AI and mutable social expectations— arbitrage in the sense of seeking to exercise individual judgment to negotiate between diverse considerations and capacities for mutual advantage. Rather than feel threatened, evolving architectural practice can augment an expanded design process to generate and embed new subtleties and expectations that society may judge contemporary AI alone as being unable to achieve. Although there can be no road map to the future of AI in architecture, historical misevaluations of machines and our own human capabilities inhibit the intertwined, synergistic, and symbiotic union with AI needed to avoid a zero-sum confrontation. To act myopically, defensively, or not at all risks straitjacketing future definitions of what it means to be an architect, designer, or even a professionally unaligned creative and productive human being. |
| series |
ACADIA |
| type |
paper |
| email |
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| full text |
 file.pdf (2,217,138 bytes) |
| references |
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Besserud, Keith, and Joshua Cotten (2008)
 Architectural Genomics
, ACADIA 08: Silicon + Skin: Biological Processes and Computation, [Proceedings of the 28th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA)], Minneapolis, MN, 16–19 October 2008, edited by A. Kudless, N. Oxman, and M. Swackhamer, 238–245. CUMINCAD
|
|
|
|
|
Bizumic, Boris, and John Duckitt (2012)
What Is and Is Not Ethnocentrism? A Conceptual Analysis and Political Implications
, Political Psychology 33 (6): 887–909
|
|
|
|
|
Borup, Mads, Nik Brown, Kornelia Konrad, and Harro Van Lente (2006)
The Sociology of Expectations in Science and Technology
, Technology Analysis & Strategic Management 18 (3–4): 285–298
|
|
|
|
|
Burry, M (2020)
Digital Architecture
, London: Routledge
|
|
|
|
|
Burry, Mark, Camilo Cruz, and Geoff Kimm (2019)
Avoiding the Color Gray: Parametrizing CAS to Incorporate Reactive Scripting
, Urban Galapagos, edited T. Kvan, and J. Karakiewicz, 137–154. Cham: Springer
|
|
|
|
|
Carlopio, Jim (1988)
A History of Social Psychological Reactions to New Technology
, Journal of Occupational Psychology 61 (1): 67–77
|
|
|
|
|
Carpo, Mario (2019)
The Natural Logic of Artificial Intelligence, or What Genetic Algorithms Really Do
, Philosophy Kitchen Extra: Journal of Contemporary Philosophy 6 (2): 123–129
|
|
|
|
|
Cassimatis, Nicholas L (2012)
Human-Level Artificial Intelligence Must Be an Extraordinary Science
, Advances in Cognitive Systems1: 37–45
|
|
|
|
|
Chalmers, David J (1995)
Facing Up to the Problem of Consciousness
, Journal of Consciousness Studies 2 (3): 200–219
|
|
|
|
|
Cross, Nigel (1999)
Natural Intelligence in Design
, Design Studies20 (1): 25–39
|
|
|
|
|
Davenport, Thomas H., and Rajeev Ronanki (2018)
Artificial Intelligence for the Real World
, Harvard Business Review 96 (1): 108–116
|
|
|
|
|
Dutta, Kamlesh, and Siddhant Sarthak (2011)
Architectural Space Planning Using Evolutionary Computing Approaches: A Review
, Artificial Intelligence Review 36 (4): 311–321
|
|
|
|
|
Dyson, Esther (1993)
Biology Is Destiny in Computers, Too
, Computerworld, January 18.
|
|
|
|
|
Etzioni, Amitai, and Oren Etzioni (2017)
Incorporating Ethics Into Artificial Intelligence
, The Journal of Ethics 21 (4): 403–418
|
|
|
|
|
Frazer, John (1995)
An Evolutionary Architecture
, London: Architectural Association
|
|
|
|
|
Frazer, John (2002)
Creative Design and the Generative Evolutionary Paradigm
, Creative Evolutionary Systems, 253–274. Burlington: Morgan Kaufmann.
|
|
|
|
|
Frazer, John (2016)
Parametric Computation: History and Future
, Architectural Design 86 (2): 18–23
|
|
|
|
|
Frey, Carl Benedikt (2019)
The Technology Trap: Capital, Labor, and Power in the Age of Automation
, Princeton: Princeton University Press
|
|
|
|
|
Garibaldi, Jonathan M (2019)
The Need for Fuzzy AI
, IEEE/CAA Journal of Automatica Sinica 6 (3): 610–622
|
|
|
|
|
Grace, Katja, John Salvatier, Allan Dafoe, Baobao Zhang, and Owain Evans (2018)
When Will AI Exceed Human Performance? Evidence from AI Experts
, Journal of Artificial Intelligence Research 62: 729–754
|
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| last changed |
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