Artificial Intelligence in Science and Society: The Vision of USERN
The 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 of these innovative systems on scientific research and society at large. The Universal Scientific Edu...
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| Format: | Article |
| Language: | English |
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2025-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/10839366/ |
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| author | Tommaso Dorigo Gary D. Brown Carlo Casonato Artemi Cerda Joseph Ciarrochi Mauro da Lio Nicole D'Souza Nicolas R. Gauger Steven C. Hayes Stefan G. Hofmann Robert Johansson Marcus Liwicki Fabien Lotte Juan J. Nieto Giulia Olivato Peter Parnes George Perry Alice Plebe Idupulapati M. Rao Nima Rezaei Fredrik Sandin Andrey Ustyuzhanin Giorgio Vallortigara Pietro Vischia Niloufar Yazdanpanah |
| author_facet | Tommaso Dorigo Gary D. Brown Carlo Casonato Artemi Cerda Joseph Ciarrochi Mauro da Lio Nicole D'Souza Nicolas R. Gauger Steven C. Hayes Stefan G. Hofmann Robert Johansson Marcus Liwicki Fabien Lotte Juan J. Nieto Giulia Olivato Peter Parnes George Perry Alice Plebe Idupulapati M. Rao Nima Rezaei Fredrik Sandin Andrey Ustyuzhanin Giorgio Vallortigara Pietro Vischia Niloufar Yazdanpanah |
| author_sort | Tommaso Dorigo |
| collection | DOAJ |
| description | The 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 of these innovative systems on scientific research and society at large. 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. |
| format | Article |
| id | doaj-art-333670d634b64f2e93cc1b504d4ed708 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-333670d634b64f2e93cc1b504d4ed7082025-02-06T00:00:55ZengIEEEIEEE Access2169-35362025-01-0113159931605410.1109/ACCESS.2025.352935710839366Artificial Intelligence in Science and Society: The Vision of USERNTommaso Dorigo0https://orcid.org/0000-0002-1659-8727Gary D. Brown1https://orcid.org/0009-0005-7096-2947Carlo Casonato2https://orcid.org/0000-0003-2491-802XArtemi Cerda3https://orcid.org/0000-0001-5326-4489Joseph Ciarrochi4https://orcid.org/0000-0003-0471-8100Mauro da Lio5https://orcid.org/0000-0002-6619-9484Nicole D'Souza6https://orcid.org/0009-0002-4928-5521Nicolas R. Gauger7https://orcid.org/0000-0002-5863-7384Steven C. Hayes8https://orcid.org/0000-0003-4399-6859Stefan G. Hofmann9https://orcid.org/0000-0002-3548-9681Robert Johansson10https://orcid.org/0000-0001-5547-3866Marcus Liwicki11https://orcid.org/0000-0003-4029-6574Fabien Lotte12https://orcid.org/0000-0002-6888-9198Juan J. Nieto13https://orcid.org/0000-0001-8202-6578Giulia Olivato14https://orcid.org/0009-0000-4974-7816Peter Parnes15https://orcid.org/0000-0002-4279-5396George Perry16https://orcid.org/0000-0002-6547-0172Alice Plebe17https://orcid.org/0000-0001-8567-0553Idupulapati M. Rao18https://orcid.org/0000-0002-8381-9358Nima Rezaei19https://orcid.org/0000-0002-3836-1827Fredrik Sandin20https://orcid.org/0000-0001-5662-825XAndrey Ustyuzhanin21https://orcid.org/0000-0001-7865-2357Giorgio Vallortigara22https://orcid.org/0000-0001-8192-9062Pietro Vischia23https://orcid.org/0000-0002-7088-8557Niloufar Yazdanpanah24https://orcid.org/0000-0003-4333-2163Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, SwedenBush School of Government and Public Service, Texas A&M University, College Station, TX, USAFaculty of Law, University of Trento, Trento, ItalySoil Erosion and Degradation Research Group, Departament de Geografia, Universitat de Valéncia, Valéncia, SpainInstitute of Positive Psychology and Education, Australian Catholic University, Sydney, AustraliaDepartment of Industrial Engineering, Università degli Studi di Trento, Trento, ItalyDepartment of Neuroscience, College of Humanities, Arts, and Social Sciences (CHASS), University of California at Riverside, Riverside, CA, USAChair for Scientific Computing, University of Kaiserslautern-Landau (RPTU), Kaiserslautern, GermanyUniversal Scientific Education and Research Network (USERN), Tehran, IranDepartment of Psychology, Philipps University Marburg, Marburg, GermanyDepartment of Psychology, Stockholm University, Stockholm, SwedenDepartment of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, SwedenUniversal Scientific Education and Research Network (USERN), Tehran, IranUniversal Scientific Education and Research Network (USERN), Tehran, IranFaculty of Law, University of Trento, Trento, ItalyDepartment of Computer Science, Electrical and Space Engineering, ArcTech Learning Laboratory, Pervasive and Mobile Computing, Luleå University of Technology, Luleå, SwedenUniversal Scientific Education and Research Network (USERN), Tehran, IranDepartment of Computer Science, University College London, London, U.K.Universal Scientific Education and Research Network (USERN), Tehran, IranUniversal Scientific Education and Research Network (USERN), Tehran, IranDepartment of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, SwedenDepartment of Computer Science, Electrical and Space Engineering, Constructor University, Bremen, GermanyCentre for Mind/Brain Sciences, University of Trento, Rovereto, ItalyUniversal Scientific Education and Research Network (USERN), Tehran, IranDepartment of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, SwedenThe 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 of these innovative systems on scientific research and society at large. 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.https://ieeexplore.ieee.org/document/10839366/Artificial intelligencescientific researchscience ethicscomputer sciencephysicsmedicine |
| spellingShingle | Tommaso Dorigo Gary D. Brown Carlo Casonato Artemi Cerda Joseph Ciarrochi Mauro da Lio Nicole D'Souza Nicolas R. Gauger Steven C. Hayes Stefan G. Hofmann Robert Johansson Marcus Liwicki Fabien Lotte Juan J. Nieto Giulia Olivato Peter Parnes George Perry Alice Plebe Idupulapati M. Rao Nima Rezaei Fredrik Sandin Andrey Ustyuzhanin Giorgio Vallortigara Pietro Vischia Niloufar Yazdanpanah Artificial Intelligence in Science and Society: The Vision of USERN IEEE Access Artificial intelligence scientific research science ethics computer science physics medicine |
| title | Artificial Intelligence in Science and Society: The Vision of USERN |
| title_full | Artificial Intelligence in Science and Society: The Vision of USERN |
| title_fullStr | Artificial Intelligence in Science and Society: The Vision of USERN |
| title_full_unstemmed | Artificial Intelligence in Science and Society: The Vision of USERN |
| title_short | Artificial Intelligence in Science and Society: The Vision of USERN |
| title_sort | artificial intelligence in science and society the vision of usern |
| topic | Artificial intelligence scientific research science ethics computer science physics medicine |
| url | https://ieeexplore.ieee.org/document/10839366/ |
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