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Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GIScience.2023.93
URN: urn:nbn:de:0030-drops-189886
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18988/
Zhang, Qianheng ;
Kang, Yuhao ;
Roth, Robert
The Ethics of AI-Generated Maps: DALL·E 2 and AI’s Implications for Cartography (Short Paper)
Abstract
The rapid advancement of artificial intelligence (AI) such as the emergence of large language models ChatGPT and DALL·E 2 has brought both opportunities for improving productivity and raised ethical concerns. This paper investigates the ethics of using artificial intelligence (AI) in cartography, with a particular focus on the generation of maps using DALL·E 2. To accomplish this, we first created an open-sourced dataset that includes synthetic (AI-generated) and real-world (human-designed) maps at multiple scales with a variety of settings. We subsequently examined four potential ethical concerns that may arise from the characteristics of DALL·E 2 generated maps, namely inaccuracies, misleading information, unanticipated features, and irreproducibility. We then developed a deep learning-based model to identify those AI-generated maps. Our research emphasizes the importance of ethical considerations in the development and use of AI techniques in cartography, contributing to the growing body of work on trustworthy maps. We aim to raise public awareness of the potential risks associated with AI-generated maps and support the development of ethical guidelines for their future use.
BibTeX - Entry
@InProceedings{zhang_et_al:LIPIcs.GIScience.2023.93,
author = {Zhang, Qianheng and Kang, Yuhao and Roth, Robert},
title = {{The Ethics of AI-Generated Maps: DALL·E 2 and AI’s Implications for Cartography}},
booktitle = {12th International Conference on Geographic Information Science (GIScience 2023)},
pages = {93:1--93:6},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-288-4},
ISSN = {1868-8969},
year = {2023},
volume = {277},
editor = {Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2023/18988},
URN = {urn:nbn:de:0030-drops-189886},
doi = {10.4230/LIPIcs.GIScience.2023.93},
annote = {Keywords: Ethics, GeoAI, DALL-E, Cartography}
}
