The use of artificial intelligence in scientific research and production processes

Artificial intelligence has established itself as a key tool in the transformation of scientific research processes; its integration has made it possible to streamline tasks, improve academic productivity, and facilitate knowledge generation in various educational and scientific contexts. In this context, the growing adoption of intelligent technologies raises the need for a comprehensive analysis of their benefits, limitations, and challenges, particularly with regard to the quality, validity, and ethics of scientific output. The objective of the study was to analyze the use of artificial intelligence in optimizing scientific research processes; it sought to identify its technical, methodological, epistemological, and ethical impacts on academic output. This approach allowed for an understanding of the role of artificial intelligence as an emerging tool in the research field and its influence on the generation of scientific knowledge. The methodology was developed using a qualitative approach through a systematic review based on the PRISMA 2020 guidelines; a literature search was conducted in indexed databases such as Scopus, Web of Science, and Google Scholar, considering studies published between 2020 and 2025 in Spanish and English. Inclusion and exclusion criteria were applied to select relevant articles, followed by a thematic content analysis that allowed the findings to be organized into four main categories. The results show that artificial intelligence optimizes research processes by automating tasks and analyzing data; furthermore, it increases scientific output by improving efficiency and the generation of academic content. However, methodological and epistemological risks related to the accuracy of information were identified, as well as ethical challenges linked to authorship, transparency, and scientific integrity, highlighting the need for a critical and regulated use of these technologies.