Responsible Artificial Intelligence for Earth Observation: Achievable and realistic paths to serve the collective good

The convergence of artificial intelligence (AI) and Earth observation (EO) technologies has brought geoscience and remote sensing into an era of unparalleled capabilities. AI’s transformative impact on data analysis, particularly derived from EO platforms, holds great promise in addressing global challenges, such as environmental monitoring, disaster response, and climate change analysis. However, the rapid integration of AI necessitates a careful examination of the dimensions of responsibility inherent in its application within these domains. In this article, we represent a pioneering effort to systematically review the intersection of AI and EO, with a central focus on responsible AI practices. Specifically, we identify several critical components guiding this exploration from both academia and industry perspectives within the EO field: AI and EO for social good, mitigating unfair biases, AI security in EO, geoprivacy and privacy-preserving measures, and also maintaining scientific excellence, open data, and guiding AI usage based on ethical principles. Furthermore, the article explores potential opportunities and emerging trends, providing valuable insights for future research endeavors.

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Publication Details

Journal
IEEE Geoscience and Remote Sensing Magazine
Published
2025-02-21
DOI
https://doi.org/10.1109/mgrs.2025.3529726
Citations
10
Primary Topic
Knowledge Management and Technology
Type
article
Field-Weighted Citation Impact
21.07
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article

Responsible Artificial Intelligence for Earth Observation: Achievable and realistic paths to serve the collective good

Peter M. Atkinson, Claudio Persello, Patrick Hostert, Sivasakthy Selvakumaran et al.
10 citations
IEEE Geoscience and Remote Sensing Magazine
Knowledge Management and Technology
21.07
article

Responsible Artificial Intelligence for Earth Observation: Achievable and realistic paths to serve the collective good

Peter M. Atkinson, Claudio Persello, Patrick Hostert, Sivasakthy Selvakumaran, Philippe Rufin, Pedram Ghamisi, Caroline Gevaert, Manuela Girotto, Andrea Marinoni, Benjamin P. Horton, Weikang Yu, Fabio Pacifici
article en
10 citations

Abstract

The convergence of artificial intelligence (AI) and Earth observation (EO) technologies has brought geoscience and remote sensing into an era of unparalleled capabilities. AI’s transformative impact on data analysis, particularly derived from EO platforms, holds great promise in addressing global challenges, such as environmental monitoring, disaster response, and climate change analysis. However, the rapid integration of AI necessitates a careful examination of the dimensions of responsibility inherent in its application within these domains. In this article, we represent a pioneering effort to systematically review the intersection of AI and EO, with a central focus on responsible AI practices. Specifically, we identify several critical components guiding this exploration from both academia and industry perspectives within the EO field: AI and EO for social good, mitigating unfair biases, AI security in EO, geoprivacy and privacy-preserving measures, and also maintaining scientific excellence, open data, and guiding AI usage based on ethical principles. Furthermore, the article explores potential opportunities and emerging trends, providing valuable insights for future research endeavors.

IEEE Geoscience and Remote Sensing MagazineVol. 13(3)
Maxar Technologies (United States) (US), Nanyang Technological University (SG), University of Cambridge (GB), Helmholtz-Zentrum Dresden-Rossendorf (DE), Humboldt-Universität zu Berlin (DE), Earth Observatory of Singapore (SG), Technical University of Munich (DE), Lancaster University (GB), UiT The Arctic University of Norway (NO), University of Twente (NL), University of California, Berkeley (US), UCLouvain (BE)
Climate action
Openalex Percentile: Top 1%
Knowledge Management and Technology
21.07
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