Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities

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dc.creatorTzachor, Asaf
dc.creatorDevare, Medha
dc.creatorKing, Brian
dc.creatorAvin, Shahar
dc.creatorÓ hÉigeartaigh, Sean
dc.date2022-02
dc.date2022-03-11T11:53:56Z
dc.date2022-03-11T11:53:56Z
dc.date.accessioned2026-06-27T15:59:59Z
dc.identifierhttps://hdl.handle.net/10568/118363
dc.identifier.urihttp://hdl.handle.net/123456789/119643
dc.languageen
dc.publisherSpringer
dc.rightsLimited Access
dc.sourceTzachor, A.; Devare, M.; King, B.; Avin, S.; Ó hÉigeartaigh, S. (2022) Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities. Nature Machine Intelligence 4, p. 104–109. ISSN: 2522-5839
dc.subjectagriculture
dc.subjectartificial intelligence
dc.subjectrisk factors
dc.subjectmachine learning
dc.subjectdata
dc.subjectrisk reduction
dc.subjectparticipatory research
dc.subjectagricultura
dc.subjectinteligencia artificial
dc.subjectfactores de riesgo
dc.subjectaprendizaje electrónico
dc.titleResponsible artificial intelligence in agriculture requires systemic understanding of risks and externalities
dc.typeJournal Article

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Instituto Internacional de Agricultura Tropical (IITA)