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Generative AI: Opportunities and Challenges for GIScience Research
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Keywords: ChatGPT, Gemini, Generative AI, AI literacy, GIScience Abstract Type: Paper Abstract
Authors:
Junghwan Kim, Virginia Tech
Kee Moon Jang, Massachusetts Institute of Technology
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Abstract
This presentation provides an overview of the opportunities and challenges associated with generative AI in GIScience research and education. The first part highlights innovative use cases of generative AI in geography and urban planning, focusing on its capabilities in detecting features of urban built environments and its potential applications in urban planning practices, such as efficiently measuring walkability. The second part examines the limitations of generative AI from a geographic perspective, particularly its challenges in delivering localized information for underrepresented regions, such as rural towns, compared to large cities. The final part shares lessons learned from developing and teaching a new course, Generative AI Applications in Social Science, which promotes students' AI literacy through project-based learning.
Generative AI: Opportunities and Challenges for GIScience Research
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Paper Abstract
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Submitted by:
Junghwan Kim Virginia Polytechnic Institute & State University junghwankim@vt.edu