The science of convergence brings together multiple fields, to tackle global issues such as climate change, urbanization, public health, disaster resilience, and ethical implications of technologies. This chapter first reviews the reciprocal relationships between Geospatial artificial intelligence (GeoAI) and human geography and then presents a co-design framework of convergent research on GeoAI and human geography. The framework consists of four core components: (1) problem definition through stakeholder engagement, (2) knowledge and methodology integration, (3) prototype development and testing, and (4) knowledge dissemination and capacity building. This chapter highlights the importance of co-design of privacy and ethical framework for responsible and trustworthy GeoAI development, calls for the establishment of an open knowledge network, and outlines several opportunities and challenges toward cross-disciplinary developments between GeoAI and human geography.

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Cross-Disciplinary Opportunities for GeoAI and Human Geography

  • Song Gao

摘要

The science of convergence brings together multiple fields, to tackle global issues such as climate change, urbanization, public health, disaster resilience, and ethical implications of technologies. This chapter first reviews the reciprocal relationships between Geospatial artificial intelligence (GeoAI) and human geography and then presents a co-design framework of convergent research on GeoAI and human geography. The framework consists of four core components: (1) problem definition through stakeholder engagement, (2) knowledge and methodology integration, (3) prototype development and testing, and (4) knowledge dissemination and capacity building. This chapter highlights the importance of co-design of privacy and ethical framework for responsible and trustworthy GeoAI development, calls for the establishment of an open knowledge network, and outlines several opportunities and challenges toward cross-disciplinary developments between GeoAI and human geography.