Artificial intelligence in science and society: The vision of USERN

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dc.creatorDorigo, Tommaso
dc.creatorBrown, Gary D.
dc.creatorCasonato, Carlo
dc.creatorCerdà, Artemi
dc.creatorCiarrochi, Joseph
dc.creatorda Lio, Mauro
dc.creatorD’Souza, Nicole
dc.creatorGauger, Nicolas R.
dc.creatorHayes, Steven C.
dc.creatorHofmann, Stefan G.
dc.creatorJohansson, Robert
dc.creatorLiwicki, Marcus
dc.creatorLotte, Fabien
dc.creatorNieto, Juan J.
dc.creatorOlivato, Giulia
dc.creatorParnes, Peter
dc.creatorPerry, George
dc.creatorPlebe, Alice
dc.creatorRao, Idupulapati
dc.creatorRezaei, Nima
dc.creatorSandin, Fredrik
dc.creatorUstyuzhanin, Andrey
dc.creatorVallortigara, Giorgio
dc.creatorVischia, Pietro
dc.creatorYazdanpanah, Niloufar
dc.date2025
dc.date2025-02-03T10:48:09Z
dc.date2025-02-03T10:48:09Z
dc.date.accessioned2026-06-27T13:28:19Z
dc.descriptionThe recent rise in relevance and diffusion of Artificial Intelligence (AI)-based systems and the increasing number and power of applications of AI methods invites a profound reflection on the impact. The Universal Scientific Education and Research Network (USERN), an organization that promotes initiatives to support interdisciplinary science and education across borders and actively works to improve science policy, collects here the vision of its Advisory Board members, together with a selection of AI experts, to summarize how we see developments in this exciting technology impacting science and society in the foreseeable future. In this review, we first attempt to establish clear definitions of intelligence and consciousness, then provide an overview of AI’s state of the art and its applications. A discussion of the implications, opportunities, and liabilities of the diffusion of AI for research in a few representative fields of science follows this. Finally, we address the potential risks of AI to modern society, suggest strategies for mitigating those risks, and present our conclusions and recommendations
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/172731
dc.identifier.urihttp://hdl.handle.net/123456789/60452
dc.languageen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.rightsOpen Access
dc.sourceDorigo, T.; Brown, G.D.; Casonato, C.; Cerdà, A.; Ciarrochi, J.; da Lio, M.; D’Souza, N.; Gauger, N.R.; Hayes, S.C.; Hofmann, S.G.; Johansson, R.; Liwicki, M.; Lotte, F.; Nieto, J.J.; Olivato, G.; Parnes, P.; Perry, G.; Plebe, A.; Rao, I.; Rezaei, N.; Sandin, F.; Ustyuzhanin, A.; Vallortigara, G.; Vischia, P.; Yazdanpanah, N. (2025) Artificial intelligence in science and society: The vision of USERN. IEEE Access 13: p. 15993-16054. ISSN: 2169-3536
dc.subjectevaluation
dc.subjectagriculture
dc.subjectdigital agriculture
dc.subjectartificial intelligence
dc.subjectrisk assessment
dc.subjectresearch
dc.subjectsciences
dc.subjectsociety
dc.subjectethics
dc.subjectcomputer science
dc.titleArtificial intelligence in science and society: The vision of USERN
dc.typeJournal Article

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