Explores spatial AI's impact on various fields, highlighting its potential and ethical concerns.
Spatial AI, or GeoAl, represents a transformative integration ofartificial intelligence with geographic thinking, enabling real-time,intelligent, and context-aware spatial analysis. This paper explores itsevolution from data scarcity to data abundance, highlightingapplications in public policy, social media analytics, social science,agriculture, public health, and urban planning. It examines emerginggenerative AI platforms that democratize spatial intelligence,alongside ethical challenges such as privacy, bias, and transparency.Emphasizing responsible GeoAlI, the paper advocates for openness,inclusivity, interdisciplinarity, and accountability, positioning SpatialAl as both a technological innovation and a societal tool for equity,justice, and sustainability.
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Devika Jain (2025) studied this question.
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