How to trust AI-generated maps

The increasing potential role of artificial intelligence (AI) in generating maps leads to the need for robust criteria and plausibility checks to ensure their trustworthiness.This paper develops a framework of key criteria and indicators for assessing the plausibility of maps produced by AI, as well as systematic methodologies to judge their trustworthiness.The discussion focuses on technical, contextual, and ethical dimensions, aiming to establish a comprehensive framework for evaluating AI-generated cartographic outputs, following respective rationales (Ceballos et al.

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Publication Details

Journal
Abstracts of the ICA
Published
2025-12-12
DOI
https://doi.org/10.5194/ica-abs-10-84-2025
Citations
1
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
2.48
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article

How to trust AI-generated maps

1 citations
Abstracts of the ICA
Explainable Artificial Intelligence (XAI)
2.48
article

How to trust AI-generated maps

article en
1 citations

Abstract

The increasing potential role of artificial intelligence (AI) in generating maps leads to the need for robust criteria and plausibility checks to ensure their trustworthiness.This paper develops a framework of key criteria and indicators for assessing the plausibility of maps produced by AI, as well as systematic methodologies to judge their trustworthiness.The discussion focuses on technical, contextual, and ethical dimensions, aiming to establish a comprehensive framework for evaluating AI-generated cartographic outputs, following respective rationales (Ceballos et al.

Abstracts of the ICAVol. 10
TU Wien (AT)
Openalex Percentile: Top 6%
Explainable Artificial Intelligence (XAI)
2.48
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How to trust AI-generated maps · Abstracts of the ICA (2025) | TGRS Research Map | TGRS