Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities
| cg.authorship.types | CGIAR and advanced research institute | en |
| cg.contributor.affiliation | University of Cambridge | en |
| cg.contributor.affiliation | Reichman University | en |
| cg.contributor.affiliation | CGIAR Platform for Big Data in Agriculture | en |
| cg.contributor.affiliation | International Institute of Tropical Agriculture | en |
| cg.contributor.crp | Big Data | |
| cg.creator.identifier | Medha Devare: 0000-0003-0041-4812 | en |
| cg.creator.identifier | Brian King: 0000-0002-7056-9214 | en |
| cg.identifier.doi | https://doi.org/10.1038/s42256-022-00440-4 | en |
| cg.isijournal | ISI Journal | en |
| cg.issn | 2522-5839 | en |
| cg.issue | 2 | en |
| cg.journal | Nature Machine Intelligence | en |
| cg.reviewStatus | Peer Review | en |
| cg.subject.alliancebiovciat | DOCUMENTATION | en |
| cg.subject.alliancebiovciat | INFORMATICS | en |
| cg.subject.alliancebiovciat | INFORMATION SYSTEMS | en |
| cg.subject.alliancebiovciat | MODELING | en |
| cg.subject.impactArea | Nutrition, health and food security | |
| cg.subject.impactArea | Poverty reduction, livelihoods and jobs | |
| cg.subject.sdg | SDG 1 - No poverty | en |
| cg.subject.sdg | SDG 2 - Zero hunger | en |
| cg.volume | 4 | en |
| dc.contributor.author | Tzachor, Asaf | en |
| dc.contributor.author | Devare, Medha | en |
| dc.contributor.author | King, Brian | en |
| dc.contributor.author | Avin, Shahar | en |
| dc.contributor.author | Ó hÉigeartaigh, Sean | en |
| dc.date.accessioned | 2022-03-11T11:53:56Z | en |
| dc.date.available | 2022-03-11T11:53:56Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/118363 | |
| dc.title | Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities | en |
| dcterms.accessRights | Limited Access | |
| dcterms.available | 2022-02-23 | en |
| dcterms.bibliographicCitation | Tzachor, 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 | en |
| dcterms.extent | p. 104-109 | en |
| dcterms.issued | 2022-02 | en |
| dcterms.language | en | |
| dcterms.license | Copyrighted; all rights reserved | |
| dcterms.publisher | Springer | en |
| dcterms.subject | agriculture | en |
| dcterms.subject | artificial intelligence | en |
| dcterms.subject | risk factors | en |
| dcterms.subject | machine learning | en |
| dcterms.subject | data | en |
| dcterms.subject | risk reduction | en |
| dcterms.subject | participatory research | en |
| dcterms.subject | agricultura | en |
| dcterms.subject | inteligencia artificial | en |
| dcterms.subject | factores de riesgo | en |
| dcterms.subject | aprendizaje electrónico | en |
| dcterms.type | Journal Article |
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