Inteligencia artificial, investigación y revisión por pares: escenarios futuros y estrategias de acción

Julián Cárdenas

doi:10.22325/fes/res.2023.184

Authors

Julián Cárdenas University of Valencia, Spain

DOI:

https://doi.org/10.22325/fes/res.2023.184

Keywords:

artificial intelligence, higher education, ChatGPT, generative AI, literature review, sociology

Abstract

Artificial intelligence (AI) is ushering in a transformative era in research and academia, enhancing processes ranging from manuscript composition to data analysis. Nonetheless, AI remains confined to the digital realm and is incapable of engaging in human interactions to inquire about interpersonal dynamics or comprehend the context. In light of this, should we embrace AI as a reviewer of scholarly articles? This article explores the implications of AI for research and academia, providing a comprehensive definition and characterization of generative AI, highlighting AI tools that facilitate research, and examining four future scenarios: democratization of research, AI wastage, increasing inequality, and digital stragglers. In conclusion, we advocate for strategic initiatives, including augmented training in AI tools, a heightened focus on research-oriented education, and the need to spark a debate on the use of AI in managing scientific journals.

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