What to do with Artificial Intelligence? Methods, Epistemology, and Emerging Technologies

Type: Virtual Paper
Theme:
Sponsor Groups: Digital Geographies Specialty Group
Poster #:
Day: 4/10/2021
Start / End Time: 1:30 PM / 2:45 PM (PST)
Room: Virtual 47
Organizers: Margath Walker, Jamie Winders
Chairs: Margath Walker

Call for Submissions

This session offers a forum for geographers interested in the multiple ways that AI and Autonomous Systems have been taken up methodologically. We seek papers whose interventions range from the exploratory to the pragmatic and welcome reflections on topics including:

• AI and the complexities of data inputs and outputs
• Machine learning, deep learning, neural networks, and ‘explainability’
• AI, decision-making, and prediction
• AI and resistance, failure, and disruptions
• Algorithmic bias and governance
• AI, data, and equity
• AI and the future of work and workers
• AI and its spatial manifestations in the everyday


Description



Artificial Intelligence (AI) and Autonomous Systems are attracting significant interest across the social sciences, as scholars interrogate critical questions related to the design, regulation, and societal impacts of these emerging technologies. Geography has contributed to this growing body of work, particularly through research that examines how AI reformulates, impinges upon, and reorganizes space and place, how AI intersects with the “human,” what prospects exist for a counter or radical AI, and what ethical and spatial questions accompany the insertion of AI into war and other conflicts.

Implicit in these discussions of AI in the world around us, of course, is the question of methods – how should geographers and other scholars go about studying, interrogating, and perhaps themselves operationalizing AI in their research? What does it mean to think geographically about AI as a research tool that aids in our analyses and/or itself an object of analysis in our scholarship? What, in other words, does AI accomplish as a method or research tool, and how and in what ways can it also be the focus of geographic inquiry?

This session offers a forum for geographers interested in the multiple ways that AI and Autonomous Systems have been taken up methodologically. We seek papers whose interventions range from the exploratory to the pragmatic and welcome reflections on topics including:

• AI and the complexities of data inputs and outputs
• Machine learning, deep learning, neural networks, and ‘explainability’
• AI, decision-making, and prediction
• AI and resistance, failure, and disruptions
• Algorithmic bias and governance
• AI, data, and equity
• AI and the future of work and workers
• AI and its spatial manifestations in the everyday


Agenda

Type Details Minutes Start Time
Presenter Margath Walker*, University of Louisville, Emmanuel Frimpong Boamah, SUNY Buffalo, More is Less: Ruminations on the Constraints of Artificial Intelligence 15 1:30 PM
Presenter Shanti Sumartojo*, Monash University, Leimin Tian, Monash University, Pamela Carreno-Medrano, Monash University, Robert Lundgren, Monash University, Aimee Allen, Monash University, Dana Kulić, Monash University, Michael Mintrom, Monash University, Imagining robots: interdisciplinary digital visual ethnography and emerging technologies 15 1:45 PM
Presenter Fabian Ferrari*, University of Oxford, The Core of Platform Capitalism: Towards an Economic Geography of Artificial Intelligence 15 2:00 PM
Discussant Ryan Burns University of Calgary 15 2:15 PM
Presenter Jamie Winders*, Syracuse University, Teaming up on Artificial Intelligence: Interdisciplinary Research, Epistemology, and the Place of Theory 15 2:30 PM

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