Uso of Artificial Intelligence
The role of Artificial Intelligence (AI) in the scientific field has profoundly transformed the methodologies and practices associated with scholarly research, enabling greater efficiency in the collection, analysis, and systematization of data. Nevertheless, the incorporation of these technologies has also raised concerns regarding research integrity, data privacy, and the ethical management of the information utilized. In this context, ethical reflection becomes an essential component in establishing guidelines that ensure the transparent, honest, and responsible use of AI within academic research.
The journal Antigüedad y Cristianismo has adopted the recommendations proposed by the R4C-IRG Interdisciplinary Research Group: Pensamiento Complejo para Todos, as well as by the Educational Technology Unit of the Institute for the Future of Education (IFE) at the Monterrey Institute of Technology, with the aim of regulating and guiding the ethical use of AI in the scientific process.
These recommendations include the following fundamental principles:
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Ensuring scientific and ethical integrity in the use of AI: AI should be conceived as a complementary tool designed to support scholarly work, without replacing the critical judgment and responsibility of the researcher in the interpretation of the results.
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Safeguarding the confidentiality and protection of personal data: It is imperative to strictly comply with international and local regulations on data privacy and protection at all stages of AI use, ensuring respect for the rights of individuals whose data may be involved.
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Exercising critical analysis regarding AI-generated data: Researchers must be aware of the inherent limitations of these technologies, as well as the dependency of the results on the quality and precision of the prompts or instructions provided.
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Rigorously verifying and validating the information obtained: It is necessary to ensure the reliability, relevance, and pertinence of the results generated by AI, fully assuming responsibility for their interpretation, application, and dissemination.
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Exhaustively documenting the methods and tools employed: It is essential to clearly specify both the authorship and the degree of AI involvement in obtaining the research results, thereby promoting transparency in the methodology used.
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Actively identifying, reducing, and avoiding biases in research: A reflective and ethical use of AI should be fostered, seeking to minimize prejudices that may compromise the objectivity and fairness of the outcomes.
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Maintaining continuous updates on AI advancements: Researchers should diversify their use of technological tools, encouraging a creative, critical, and efficient application of these, in alignment with the needs and objectives of their research.
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Periodically reviewing and adapting AI-related regulations: It is fundamental to ensure that ethical policies and guidelines remain consistently aligned with the principles of scientific integrity and the latest technological developments.
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Promoting interdisciplinary collaboration: The synergy between human knowledge and AI should encourage the exchange of insights across different fields of study, thereby enriching both research processes and outcomes.
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Sharing resources and training regarding AI usage: It is advisable to actively disseminate relevant sources, tools, and best practices concerning AI usage, as well as to provide training opportunities that enable other researchers to apply these technologies effectively and ethically.
These guidelines seek not only to promote the responsible use of artificial intelligence but also to strengthen trust in scientific production within an environment increasingly mediated by emerging technologies.
