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An infographic framework of GeoAI ethics based on news data
Journal article   Peer reviewed

An infographic framework of GeoAI ethics based on news data

Chuan Chen, Mengyi Wei, Puzhen Zhang, Peng Luo and Liqiu Meng
Cartography and geographic information science, Vol.53(2), pp.188-208
03/04/2026
DOI: 10.1080/15230406.2025.2593949
url
https://doi.org/10.1080/15230406.2025.2593949View
Published (Version of record) Open Access

Abstract

Artificial intelligence (AI) is widely used in geographic information science (GIS) and has spawned a new research direction, Geospatial Artificial Intelligence (GeoAI). While there is a growing awareness of potential negative impacts of AI and increased research on AI ethics, systematic ethics research on GeoAI is still lacking and needs the integration of quantitative analytical capabilities. However, existing research on GeoAI ethics lacks a methodological approach for deriving quantitative analytical results, which in turn limits the ability to obtain conclusions with numerical significance. To address this challenge, we collect news data to obtain raw cases of GeoAI ethics. Subsequently, an exploratory framing serves as the guideline for data coding, resulting in a recoded and quantifiable dataset, which is intended for conducting an exploratory analysis of the themes and content of GeoAI ethical issues as they appear in news data. By integrating the designed icon system, we conduct a visual analysis of the dataset. Based on the findings, an infographic framework for GeoAI ethics is proposed to strengthen the structured development of ethical GeoAI. The exploratory framing, together with the infographic framework, contributes to the systematic identification of ethical issues and the formulation of policy guide lines within the GeoAI community.
 Geography Social Sciences

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