Human intelligence for authors, reviewers and editors using artificial intelligence
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We call artificial intelligence any machine that processes information with some purpose, complying with the logical rules of Turing's computation described more than 70 years ago. These machines work with instructions called algorithms, a finite and well-defined sequence of information processing implemented by automata (computers) or any digital technology to optimize a process. (2) This means that the purpose of artificial intelligence is optimization.
Optimization is the ability to do or solve something in the most efficient way possible and, in the best case, using the least amount of resources. The intended optimization is programmed and preset by humans; therefore, these technologies are tools humans create for human purposes.
The optimization capability of artificial intelligence is staggering. It is estimated that using artificial intelligence will facilitate the achievement of 134 of the 169 goals agreed in the 2030 Agenda for Sustainable Development. However, in this evaluation, it was projected that it could negatively affect the progress of 59 goals of the same agreement, being social, economic, educational, legal and gender inequality, the phenomenon most affected by artificial intelligence.
This projection shows us that it is necessary to counterbalance the development and implementation of processes mediated by artificial intelligence, to maintain reflection and question the influence of these technological tools, and, above all, to be based on human intelligence. A definition of human intelligence in the data science and artificial intelligence environment would be a collection of contextual tacit knowledge about human values, responsibility, empathy, intuition, or care for another living being that algorithms cannot describe or execute.
- chatbots
- Scholary Manuscripts
- WAME
- WAME revised recommendation
- Artificial Intelligence
- Plagiarism
- Authorship
- Scientific Misconduct
- Deep Learning
- Disinformation
- Editorial policy
- ChatGPT
Danziger S. Intelligence as a Social Concept: a Socio-Technological Interpretation of the Turing Test. Philos Technol [Internet]. 2022 Sep 1 [cited 2023 Oct 26];35(3):1-26. Available from: https://link.springer.com/article/10.1007/s13347-022-00561-z https://doi.org/10.1007/s13347-022-00561-z
Astobiza AM. Ética algorítmica: Implicaciones éticas de una sociedad cada vez más gobernada por algoritmos. Dilemata [Internet]. 2017 May 31 [cited 2023 Nov 15];(24):185-217. Available from: https://www.dilemata.net/revista/index.php/dilemata/article/view/412000107
Hanna R, Kazim E. Philosophical foundations for digital ethics and AI Ethics: a dignitarian approach. AI ethics [Internet]. 2021 Nov [cited 2023 Oct 12];1(4):405-23. Available from: https://pubmed.ncbi.nlm.nih.gov/34790944/ https://doi.org/10.1007/s43681-021-00040-9 PMid:34790944 PMCid:PMC7909376
Vinuesa R, Azizpour H, Leite I, Balaam M, Dignum V, Domisch S, et al. The role of artificial intelligence in achieving the Sustainable Development Goals. Nat Commun [Internet]. 2020 Dec 1 [cited 2023 Oct 26];11(1). Available from: https://pubmed.ncbi.nlm.nih.gov/31932590/ https://doi.org/10.1038/s41467-019-14108-y PMid:31932590 PMCid:PMC6957485
Özdemir V. Not All Intelligence is Artificial: Data Science, Automation, and AI Meet HI. OMICS [Internet]. 2019 Feb 1 [cited 2023 Oct 30];23(2):67-9. Available from: https://pubmed.ncbi.nlm.nih.gov/30707659/ https://doi.org/10.1089/omi.2019.0003 PMid:30707659
Ethics and governance of artificial intelligence for health: WHO guidance [Internet]. Geneve: World Health Organization; 2021 [cited 2023 Nov 14]. Available from: http://apps.who.int/bookorders.
Herbold S, Hautli-Janisz A, Heuer U, Kikteva Z, Trautsch A. A large-scale comparison of human-written versus ChatGPT-generated essays. Sci Rep [Internet]. 2023 Dec 1 [cited 2023 Nov 17];13(1):18617. Available from: /pmc/articles/PMC10616290/ https://doi.org/10.1038/s41598-023-45644-9 PMid:37903836 PMCid:PMC10616290
Kar P. Partha Kar: Technology and the NHS-a world of false promises? BMJ [Internet]. 2019 Nov 5 [cited 2023 Nov 17];367. Available from: https://www.bmj.com/content/367/bmj.l6135 https://doi.org/10.1136/bmj.l6135 PMid:31690556
Zielinski, C., Winker, M. A., Aggarwal, R., Ferris, L. E., Heinemann , M., Lapeña Jr , J. F., Pai , S. A., Ing, E., Citrome , L., Alam, M., Voight, M., & Habibzadeh, F. Chatbots, generative AI, and scholarly manuscripts: WAME recommendations on chatbots and generative artificial intelligence in relation to scholarly publications. Colombia Medica, 54(3). https://doi.org/10.25100/cm.v54i3.5868
Sengupta PP, Shrestha S, Berthon B, Messas E, Donal E, Tison GH, et al. Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council. JACC Cardiovasc Imaging [Internet]. 2020 Sep 1 [cited 2023 Oct 17];13(9):2017. Available from: /pmc/articles/PMC7953597/ https://doi.org/10.1016/j.jcmg.2020.07.015 PMid:32912474 PMCid:PMC7953597
Norgeot B, Quer G, Beaulieu-Jones BK, Torkamani A, Dias R, Gianfrancesco M, et al. Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist. Nat Med [Internet]. 2020 Sep 1 [cited 2023 Oct 17];26(9):1320. Available from: /pmc/articles/PMC7538196/ https://doi.org/10.1038/s41591-020-1041-y PMid:32908275 PMCid:PMC7538196
Schwendicke F, Singh T, Lee JH, Gaudin R, Chaurasia A, Wiegand T, et al. Artificial intelligence in dental research: Checklist for authors, reviewers, readers. J Dent [Internet]. 2021 Apr 1 [cited 2023 Oct 17];107. Available from: https://pubmed.ncbi.nlm.nih.gov/33631303/ https://doi.org/10.1016/j.jdent.2021.103610 PMid:33631303
Cruz Rivera S, Liu X, Chan AW, Denniston AK, Calvert MJ, Darzi A, et al. Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension. Nat Med. 2020 Sep 1;26(9):1351-63. https://doi.org/10.1136/bmj.m3210 PMid:32907797 PMCid:PMC7490785
Liu X, Rivera SC, Moher D, Calvert MJ, Denniston AK. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension. BMJ [Internet]. 2020 Sep 9 [cited 2023 Jul 3];370. Available from: https://www-bmj-com.bd.univalle.edu.co/content/370/bmj.m3164 https://doi.org/10.1136/bmj.m3164 PMid:32909959 PMCid:PMC7490784
Hernandez-Boussard T, Bozkurt S, Ioannidis JPA, Shah NH. MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care. J Am Med Inform Assoc [Internet]. 2020 Dec 1 [cited 2023 Oct 17];27(12):2011. Available from: /pmc/articles/PMC7727333/ https://doi.org/10.1093/jamia/ocaa088 PMid:32594179 PMCid:PMC7727333
Olczak J, Pavlopoulos J, Prijs J, Ijpma FFA, Doornberg JN, Lundström C, et al. Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal. Acta Orthop [Internet]. 2021 [cited 2023 Oct 17];92(5):513. Available from: /pmc/articles/PMC8519529/ https://doi.org/10.1080/17453674.2021.1918389 PMid:33988081 PMCid:PMC8519529
Kocak B, Baessler B, Bakas S, Cuocolo R, Fedorov A, Maier-Hein L, et al. CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII. Insights Imaging [Internet]. 2023 Dec 1 [cited 2023 Oct 17];14(1):20. Available from: /pmc/articles/PMC10160267/ https://doi.org/10.1186/s13244-023-01415-8 PMid:37142815 PMCid:PMC10160267
Stevens LM, Mortazavi BJ, Deo RC, Curtis L, Kao DP. Recommendations for reporting machine learning analyses in clinical research. Circ Cardiovasc Qual Outcomes [Internet]. 2020 Oct 1 [cited 2023 Oct 17];13(10):e006556. Available from: /pmc/articles/PMC8320533/ https://doi.org/10.1161/CIRCOUTCOMES.120.006556 PMid:33079589 PMCid:PMC8320533
Mongan J, Moy L, Kahn CE. Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers. Radiol Artif Intell [Internet]. 2020 Mar 1 [cited 2023 Oct 17];2(2):e200029. Available from: https://pubmed.ncbi.nlm.nih.gov/33937821/ https://doi.org/10.1148/ryai.2020200029 PMid:33937821 PMCid:PMC8017414
Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denaxas S, et al. Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. BMJ [Internet]. 2022 May 18 [cited 2023 Jul 3];377. Available from: https://www-bmj-com.bd.univalle.edu.co/content/377/bmj-2022-070904 https://doi.org/10.1136/bmj-2022-070904 PMid:35584845 PMCid:PMC9116198
Kwong JCC, McLoughlin LC, Haider M, Goldenberg MG, Erdman L, Rickard M, et al. Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework. Eur Urol Focus [Internet]. 2021 Jul 1 [cited 2023 Oct 17];7(4):672-82. Available from: https://pubmed.ncbi.nlm.nih.gov/34362709/ https://doi.org/10.1016/j.euf.2021.07.004 PMid:34362709
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