Future of Scholarly Publishing: A Perspective

Abstract

The academic publication takes on an increasingly relevant place to shape, on the one hand, the scholar’s prestige, and on the other, the prestige of the institution to which he or she is attached. In addition, academic publishing is vital for the development of scientific knowledge and the contribution to the community. This paper analyzes several dimensions that may be central to academic publishing in the near future. To this end, in methodological terms, a qualitative approach was favored, namely through the documentary analysis of scientific writings that analyze this topic. The results of this analysis reveal that this is a process in constant and accelerated development, but there will have to be criteria and processes for selecting what is scientifically relevant from what is called “noise” in scientific publishing. Increasing quality will have to be a fundamental element in this process.

Artificial Intelligence as Author of Scientific Publications

“…English as the lingua franca of science (10,20);  Reduces the loss of potentially relevant scientific information (1,12,20);…”

“…AI faces several challenges in authorship (1,5,(7)(8)(9)(10)(11)(12)(13)(14)(15)20). While AI systems may excel at language generation, one of their key limitations is understanding context.…”

“…CIENTIFIC publication is crucial in several dimensions: for the development of science itself, but also for the status of the scientist, the teaching and/or research institutions, not to mention the journals themselves and their publishers (1)(2)(3). Underlying scientific publication is a constant drive to improve the rigor and quality of what is published (4).…”

Can Artificial Intelligence Only be a Helper Writer for Science?

“…CIENCE writing conventionally depends on human intelligence, since researchers and professionals communicate their expertise and findings through meticulously constructed articles and papers. Nevertheless, artificial intelligence (AI) has recently emerged as a prospective aid for scientific writing (1). AI algorithms can facilitate data processing, conduct literature reviews, and even generate content.…”