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Maintaining Scientific Integrity and High Research Standards Against the Backdrop of Rising Artificial Intelligence Use Across Fields Publisher



Morrison FMM1, 2 ; Rezaei N1, 3, 4, 5, 6, 7 ; Arero AG1, 8 ; Graklanov V1, 9 ; Iritsyan S1, 10 ; Ivanovska M1, 11 ; Makuku R1, 12, 13 ; Marquez LP1, 14 ; Minakova K1, 15 ; Mmema LP1, 13 ; Rzymski P1, 16, 17 ; Zavolodko G1, 18
Authors
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Authors Affiliations
  1. 1. Universal Scientific Education and Research Network (USERN), Germany
  2. 2. Akkon University of Human Sciences, Berlin, Germany
  3. 3. Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Research Center for Immunodeficiencies, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Pediatrics Center of Excellence, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Karolinska Institutet, Stockholm, Sweden
  7. 7. University of Southampton, Southampton, United Kingdom
  8. 8. Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Teheran University of Medical Sciences, Tehran, Iran
  9. 9. Clinic of Clinical Hematology, UMHAT St. George Medical University Plovdiv, Plovdiv, Bulgaria
  10. 10. National Institute of Health of Armenia, Yerevan, Armenia
  11. 11. Department of Medical Microbiology and Immunology, Research Institute-MU, “Prof. Dr Elissay Yanev�-MU-Plovdiv, Plovdiv, Bulgaria
  12. 12. Edward Francis Small Teaching Hospital, Banjul, Gambia
  13. 13. Tehran University of Medical Sciences, Tehran, Iran
  14. 14. College of Social Sciences and Philosophy, University of the Philippines Diliman, Quezon City, Philippines
  15. 15. Physics Department, National Technical University “Kharkiv Polytechnic Institute�, Kharkiv, Ukraine
  16. 16. Department of Environmental Medicine, Poznan University of Medical Sciences, Poznan, Poland
  17. 17. Integrated Science Association (ISA), Poznan, Poland
  18. 18. Information Systems Department, National Technical University “Kharkiv Polytechnic Institute�, Kharkiv, Ukraine

Source: Journal of Medical Artificial Intelligence Published:2023


Abstract

Artificial intelligence (AI) technologies have already played a revolutionary role in scientific research, from diagnostics to text-generative AI used in scientific writing. The use of AI in the scientific field needs transparent regulation, especially with a longstanding history of use—the first AI technologies in science were developed in the 1950s. Since then, AI has gone from being able to alter texts to producing them using billions of parameters to generate accurate and natural texts. However, scientific work requires high ethical and professional standards, and the rise of AI use in the field has led to many institutions and journals releasing statements and restrictions on its use. AI, being reliant on its users can exacerbate and increase existing biases in the field without being able to take accountability. AI responses can also often lack specificity and depth. However, it is important not to condemn the use of AI in scientific work as a whole. This article has partial use of an AI large language model (LLM), specifically Chatbot Generative Pre-Trained Transformer (ChatGPT), to demonstrate the theories with clear examples. Several recommendations on both a strategic and regulatory level have been formulated in this paper to enable the complementary use of AI alongside ethically-conducted scientific research or for educational purposes, where it shows great potential as a transformative force in interactive work. Policymakers should create wide-reaching, clear guidelines and legal frameworks for using AI to remove the burden of consideration from educators and senior researchers. Caution in the scientific community is advised, though further understanding and work to improve AI use is encouraged. © Journal of Medical Artificial Intelligence.
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