Publication: ¿La IA usada en biología de la conservación es una buena estrategia de justicia ambiental?
Authors
Moyano, Cristian
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Publisher
Universidad de Murcia. Servicio de Publicaciones
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DOI
http://dx.doi.org/10.6018/daimon.561551
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info:eu-repo/semantics/article
Description
Abstract
La biología de la conservación se ha sumado al uso de la inteligencia artificial para optimizar su trabajo. La eficiencia con que esta procesa los datos ayuda a identificar especies salvajes, reparar los impactos antropogénicos e intervenir en ecosistemas, ofreciendo resultados supuestamente buenos para la conservación. Así, la inteligencia artificial puede proponerse como una aliada de la justicia ambiental. Pero discutiré esta tesis, argumentando que como la biología de la conservación no parte de parámetros absolutos y la justicia ambiental no está exenta de una pluralidad moral, entonces la inteligencia artificial puede reproducir y aumentar los sesgos epistemológicos y éticos.
Conservation biology has embraced the development and application of artificial intelligence to optimize its work. The efficiency with which machine learning processes data helps to identify wild species, repair anthropogenic impacts, and intervene in ecosystems, offering supposedly good results for conservation. Thus, artificial intelligence can here be proposed as an ally of environmental justice. However, I will dispute this thesis, arguing that since conservation biology does not start from absolute parameters and environmental justice is not free from moral plurality, then artificial intelligence could reproduce and increase epistemological and ethical biases.
Conservation biology has embraced the development and application of artificial intelligence to optimize its work. The efficiency with which machine learning processes data helps to identify wild species, repair anthropogenic impacts, and intervene in ecosystems, offering supposedly good results for conservation. Thus, artificial intelligence can here be proposed as an ally of environmental justice. However, I will dispute this thesis, arguing that since conservation biology does not start from absolute parameters and environmental justice is not free from moral plurality, then artificial intelligence could reproduce and increase epistemological and ethical biases.
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Citation
Daimon. Revista Internacional de Filosofía, nº 90 (2023), pp. 29-44
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