This chapter examines the growing, yet bifurcated, engagement in human geography with artificial intelligence (AI) as a research topic and with GeoAI as a research tool. Across its sections, it asks: How we can find bridges between these two efforts to integrate geography and AI, and what adjustments must geographers make now to ensure that scholarly conversations around GeoAI and around the geographies of AI can converge? In its main, the chapter reflects on what it means, on the one hand, to approach AI as a tool that helps us answer geographic questions and address geographic problems and, on the other, to frame AI as a phenomenon that transforms the focus of a given subfield (political geography, in this case). We draw attention to two areas where scholars of GeoAI and political geographers studying AI can find common ground and a common language: first, approaches to theories and second, understandings of our scholarship’s impacts. To conclude, the chapter makes the case for getting comfortable with the uncomfortable and for being willing to work along and across concepts that might not translate fully across subfields, if we are to have a discipline-wide dialogue about AI, its applications, and its impacts.

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GeoAI and Political Geography

  • Margath Walker,
  • Jamie Winders

摘要

This chapter examines the growing, yet bifurcated, engagement in human geography with artificial intelligence (AI) as a research topic and with GeoAI as a research tool. Across its sections, it asks: How we can find bridges between these two efforts to integrate geography and AI, and what adjustments must geographers make now to ensure that scholarly conversations around GeoAI and around the geographies of AI can converge? In its main, the chapter reflects on what it means, on the one hand, to approach AI as a tool that helps us answer geographic questions and address geographic problems and, on the other, to frame AI as a phenomenon that transforms the focus of a given subfield (political geography, in this case). We draw attention to two areas where scholars of GeoAI and political geographers studying AI can find common ground and a common language: first, approaches to theories and second, understandings of our scholarship’s impacts. To conclude, the chapter makes the case for getting comfortable with the uncomfortable and for being willing to work along and across concepts that might not translate fully across subfields, if we are to have a discipline-wide dialogue about AI, its applications, and its impacts.