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Artificial Intelligence in Science and Society: The Vision of Usern Publisher



Dorigo T1, 2, 3 ; Brown GD4 ; Casonato C5 ; Cerda A3, 6 ; Ciarrochi J7 ; Da Lio M8 ; Dsouza N9, 10 ; Gauger NR11 ; Hayes SC3, 12, 13 ; Hofmann SG14 ; Johansson R15 ; Liwicki M1 ; Lotte F3, 16 ; Nieto JJ3, 17 Show All Authors
Authors
  1. Dorigo T1, 2, 3
  2. Brown GD4
  3. Casonato C5
  4. Cerda A3, 6
  5. Ciarrochi J7
  6. Da Lio M8
  7. Dsouza N9, 10
  8. Gauger NR11
  9. Hayes SC3, 12, 13
  10. Hofmann SG14
  11. Johansson R15
  12. Liwicki M1
  13. Lotte F3, 16
  14. Nieto JJ3, 17
  15. Olivato G5
  16. Parnes P18
  17. Perry G3, 19
  18. Plebe A20
  19. Rao IM3, 21, 22
  20. Rezaei N3, 23
  21. Sandin F1
  22. Ustyuzhanin A24, 25
  23. Vallortigara G26
  24. Vischia P3, 27
  25. Yazdanpanah N1, 23
Show Affiliations
Authors Affiliations
  1. 1. Lulea University of Technology, Department of Computer Science, Electrical and Space Engineering, Lulea, 971 87, Sweden
  2. 2. INFN-Sezione di Padova, Padova, 35131, Italy
  3. 3. Universal Scientific Education and Research Network (USERN), Tehran, 1419733151, Iran
  4. 4. Texas A&M University, Bush School of Government and Public Service, College Station, 77840, TX, United States
  5. 5. University of Trento, Faculty of Law, Trento, 38122, Italy
  6. 6. Universitat de Valencia, Soil Erosion and Degradation Research Group, Departament de Geografia, Valencia, 46010, Spain
  7. 7. Australian Catholic University, Institute of Positive Psychology and Education, Sydney, NSW 2059, Australia
  8. 8. Universita degli Studi di Trento, Department of Industrial Engineering, Trento, 38123, Italy
  9. 9. University of California at Riverside, College of Humanities, Arts, and Social Sciences (CHASS), Department of Neuroscience, Riverside, 92521, CA, United States
  10. 10. University of Southern California Viterbi School of Engineering, Systems Neural Engineering Laboratory, Los Angeles, 90089, CA, United States
  11. 11. University of Kaiserslautern-Landau (RPTU), Chair for Scientific Computing, Kaiserslautern, 67663, Germany
  12. 12. University of Nevada, Department of Psychology, Reno, 89557, NV, United States
  13. 13. Institute for Better Health, Santa Rosa, 95401, CA, United States
  14. 14. Philipps University Marburg, Department of Psychology, Marburg, 35037, Germany
  15. 15. Stockholm University, Department of Psychology, Stockholm, 114 19, Sweden
  16. 16. Inria Center at the University of Bordeaux/LaBRI, Talence, 33400, France
  17. 17. University of Santiago de Compostela, Galician Centre for Mathematical Research and Technology (CITMAga), Department of Statistics, Mathematical Analysis and Optimization, Santiago de Compostela, 15782, Spain
  18. 18. Lulea University of Technology, ArcTech Learning Laboratory, Pervasive and Mobile Computing, Department of Computer Science, Electrical and Space Engineering, Lulea, 971 87, Sweden
  19. 19. The University of Texas at San Antonio, Department of Neuroscience, Developmental and Regenerative Biology, San Antonio, 78249, TX, United States
  20. 20. University College London, Department of Computer Science, London, WC1E 7JE, United Kingdom
  21. 21. International Center for Tropical Agriculture (CIAT), Cali, 6713, Colombia
  22. 22. International Centre of Insect Physiology and Ecology (ICIPE), Nairobi, 30772, Kenya
  23. 23. Tehran University of Medical Sciences, Research Center for Immunodeficiencies, Children's Medical Center, Tehran, 1461884513, Iran
  24. 24. Constructor University, Department of Computer Science, Electrical and Space Engineering, Bremen, 28759, Germany
  25. 25. National University of Singapore, Institute for Functional Intelligent Materials, Lower Kent Ridge Road, 119077, Singapore
  26. 26. University of Trento, Centre for Mind/Brain Sciences, Rovereto, 38068, Italy
  27. 27. Universidad de Oviedo, ICTEA, Oviedo, 33003, Spain

Source: IEEE Access Published:2025


Abstract

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. © 2025 The Authors.
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