Avances y desafíos éticos en la integración de la IA en la producción científica

Abstract

In the dynamic landscape of contemporary research, the integration of artificial intelligence (AI) is underscored to enhance scientific production, simultaneously confronting new ethical challenges such as maintaining transparency and managing algorithmic biases. This article aims to clarify how researchers can balance ethical imperatives with the benefits and challenges arising from the use of AI in their work. A systematic review methodology was employed, allowing for critical analysis of relevant studies and the identification of key trends and perspectives on the ethical use of AI. The findings highlight a growing awareness of the importance of ethical frameworks and academic integrity, as well as the need to develop explainable AI. The most significant conclusion is that through multidisciplinary approaches that incorporate ongoing ethical guidelines and training in AI ethics, an ethical and effective integration of these technologies in research is promoted, benefiting both the scientific community and society at large.