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dc.contributor.authorRivas, Pablo
dc.contributor.authorThompson, Christopher
dc.contributor.authorTafur Acenjo, Brenda Xiomara
dc.contributor.authorKhanal, Bikram
dc.contributor.authorAyoade, Olawale
dc.contributor.authorJui, Tonni Das
dc.contributor.authorSooksatra, Korn
dc.contributor.authorOrduz, Javier
dc.contributor.authorBejarano, Gissella
dc.date.accessioned2023-10-11T18:53:36Z
dc.date.available2023-10-11T18:53:36Z
dc.date.issued2023
dc.identifier.citationRivas, 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/B978-0-323-91737-7.00007-4es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12724/19067
dc.description.abstractFollowing 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.en_EN
dc.formatapplication/html
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofurn:isbn: 978-032391737-7
dc.relation.ispartofurn:isbn: 978-032397216-1
dc.rightsinfo:eu-repo/semantics/restrictedAccess*
dc.sourceRepositorio Institucional Ulima
dc.sourceUniversidad de Lima
dc.subjectInteligencia artificiales_PE
dc.subjectÉticaes_PE
dc.subjectCiencias de la tierraes_PE
dc.subjectArtificial intelligenceen_EN
dc.subjectEthicsen_EN
dc.subjectEarth sciencesen_EN
dc.titleAI ethics for earth scienceses_PE
dc.typeinfo:eu-repo/semantics/bookPart
dc.type.otherCapítulo de libro en Scopus
ulima.areas.lineasdeinvestigacionProductividad y empleo / Innovación: tecnologías y productoses_PE
dc.publisher.countryNL
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04
dc.identifier.doihttps://doi.org/10.1016/B978-0-323-91737-7.00007-4
dc.contributor.studentTafur Acenjo, Brenda Xiomara
ulima.cat009
ulima.autor.afiliacionIngenieria de Sistemas, Facultad de Ingenieria y Arquitectura, Universidad de Limaes_PE
ulima.autor.carrera“No figura en la lista del año 2023”es_PE
dc.identifier.isni0000000121541816


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