El uso de herramientas informáticas en la enseñanza del cálculo diferencial e integral: una revisión sistemática de la literatura

Abstract

The main objective of this research is to analyze the optimization of research processes through artificial intelligence (AI) research, addressing its applications, challenges, and future perspectives. Through a systematic literature review, the key areas where AI is transforming research processes, such as the automation of routine tasks, the analysis of large volumes of data, and the improvement in the quality of results, are identified. Tools such as TensorFlow and natural language processing systems are highlighted, which are revolutionizing the search and retrieval of scientific information, and the writing of research reports. Despite these advances, challenges related to algorithmic bias, data privacy, and technological limitations persist. The study's findings underscore the need for clear regulatory frameworks and ethical guidelines to mitigate these risks. Furthermore, AI is expected to continue to play a key role in research, automating complex tasks and allowing researchers to focus on more strategic and creative activities. Keywords: AI, process optimization, research automation, data analysis, AI ethics.