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    "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">In a recent publication&#44;<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> the authors introduced the concept of &#8220;Artificial Intelligence-Directed Scientific Production&#8221; &#40;AIDSP&#41;&#44; raising concerns about potential ethical conflicts in the use of artificial intelligence &#40;AI&#41; for scientific publications&#44; particularly in terms of permission and regulation&#46; We would like to present our perspective on these questions&#46;</p><p id="par0010" class="elsevierStylePara elsevierViewall">Scientific publications and AI&#58; In our opinion&#44; AI should be allowed in scientific publications&#46; At its core&#44; AI is a predictive tool that enhances productivity through its predictive capabilities&#46; These capabilities enable the efficient completion of numerous tasks&#44; thereby contributing to increased productivity&#46; By performing these predictive tasks&#44; AI serves as a facilitator of scientific reflection&#44; which is inherently generative&#46; The value of AI lies in streamlining tedious tasks that add little value to the final scientific product&#44; while the value of science resides in interpreting results&#44; not merely obtaining them&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">The merit of scientific publications should not be based on the use of established theoretical frameworks&#44; format&#44; or grammatical quality&#44; but rather on generating new theoretical frameworks or adapting existing ones&#46; We would like to emphasize that AI is not inherently generative&#59; its primary function is to be predictive and exploratory&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">The question should not be &#8220;AI or no AI&#63;&#8221; but rather &#8220;How do we adapt to AI&#63;&#8221; or &#8220;What are the best ways to optimize our work based on AI&#63;&#8221;&#46; Not adopting AI would put us at a competitive disadvantage compared to those who do&#46; From our perspective&#44; this would be analogous to opposing the printing press or calculators for facilitating mathematical calculations&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">Regulatory framework and AI&#58; In our opinion&#44; creating a regulatory framework for AI beyond simply providing information about the AI used is challenging for the two following reasons&#58;</p><p id="par0030" class="elsevierStylePara elsevierViewall">Complexity&#58; The inherent complexity of AI requires deep knowledge in various fields such as theoretical&#44; practical&#44; and business aspects of AI&#44; as well as extensive reflection in the philosophy of science and law&#46; It is unlikely that individuals with comprehensive knowledge in such diverse fields exist&#44; and a lack of broad debate may result in bias&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">Technological scope&#58; Unlike scientific production&#44; many algorithmic developments and applications emerge outside the academic realm in a decentralized manner&#44; often with open-source code&#46; Major technology companies tend to index their scientific research within their research agendas&#46;<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2&#44;3</span></a> Nothing would prevent Microsoft from using open databases &#40;e&#46;g&#46;&#44; MIMIC-IV&#44;<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">4</span></a> SICDB<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a>&#41;&#44; developing algorithms based on them&#44; and publishing the results on their website&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">These factors make specific regulatory frameworks quickly obsolete or render general regulatory frameworks incapable of capturing the nuances of this rapidly evolving field&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">In conclusion&#44; we should focus on how to work with and report on AI to better understand its limitations&#46; Embracing AI in scientific publishing requires addressing ethical considerations while acknowledging the need for appropriate regulatory frameworks&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Translation performed using the GPT-4 language model &#40;demonstrated in supplementary material&#41;&#46;</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Financing</span><p id="par0055" class="elsevierStylePara elsevierViewall">None&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Conflicts of interest</span><p id="par0060" class="elsevierStylePara elsevierViewall">The authors declare that none have conflicts of interest&#46;</p></span></span>"
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