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AI ethics for earth sciences

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Date
2023
Author(s)
Rivas, Pablo
Thompson, Christopher
Tafur Acenjo, Brenda Xiomara
Khanal, Bikram
Ayoade, Olawale
Jui, Tonni Das
Sooksatra, Korn
Orduz, Javier
Bejarano, Gissella
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Abstract
Following standards for artificial intelligence (AI) ethics and best practices can ensure that researchers and practitioners share better insights across subdisciplines. In the Earth sciences, the practice of responsible AI is critical because it provides our society with a sense of security and value in our daily lives. Responsible AI involves developing a formal ethical framework for AI; however, an exhaustive treatment for all applied AI research, including the earth sciences, has not been developed yet. Nonetheless, some basic best practices and standards are available now, and others are coming out in the short term. This chapter briefly describes the basic standards for AI ethics and best practices that are readily available now. These go from ethical considerations of autonomous AI systems such as those based on satellite data or sensor networks, up to discussing practical guides to document machine learning models. We believe that these principles provide an essential roadmap for what is vital for responsible Earth AI development and use.
URI
https://hdl.handle.net/20.500.12724/19067
DOI
https://doi.org/10.1016/B978-0-323-91737-7.00007-4
https://doi.org/10.1016/B978-0-323-91737-7.00007-4
How to cite
Rivas, P., Thompson, C., Tafur, B., Khanal, B., Ayoade, O., Jui, T. D., Sooksatra, K., Orduz, J. & Bejarano, G. (2023). AI ethics for earth sciences. En Z. Sun, N. Cristea & P. Rivas (Eds.), Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges. (pp. 379-396). Elsevier. https://doi.org/10.1016/B978-0-323-91737-7.00007-4
Publisher
Elsevier
Subject
Inteligencia artificial
Ética
Ciencias de la tierra
Artificial intelligence
Ethics
Earth sciences
Collections
  • Ingeniería de Sistemas [11]


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