Is Bauman's "liquid modernity" influencing the way we are doing science?

The artificial intelligence revolution...in unethical publishing: Will AI worsen our dysfunctional publishing system?

Scholarly publishing has been shaped by the pressure of a liquid economy to become an exercise in branding more than a vehicle for the advancement of science. The current revolution in artificial intelligence (AI) is poised to make matters worse. The new generation of large language models (LLMs) have shown impressive capabilities in text generation and are already being used to write papers, grants, peer review reports, code for analyses, and even perform literature reviews. Although these models can be used in positive ways, the metrics and pressures of academia, along with our dysfunctional publishing system, stimulate their indiscriminate and uncritical use to speed up research outputs. Thus, LLMs are likely to amplify the worst incentives of academia, greatly increasing the volume of scientific literature while diluting its quality. At present, no effective solutions are evident to overcome this grim scenario, and nothing short of a cultural revolution within academia will be needed to realign the practice of science with its traditional ideal of a rigorous search for truth.

Unveiling the ethical void: Bias in reference citations and its academic ramifications

Citation bias receives scant attention in discussions of ethics. However, inaccurate citation may lead to significant distortions in scientific understanding. Although ethnical and gender citation disparities have been proposed as critical aspects, there are other contributors to citation distortions, like region-based citation bias, that, although less recognized within the scientific community, are equally important. While the foundations of scientific citation include acknowledging pioneers, giving credit to related work, and providing background reading, other more subjective or even questionable criteria are often used when constructing a reference lists. Here, we discuss the potential causes and ethical concerns of citation bias, emphasizing the role of international- or region-based citation bias as one of the most harmful aspects of this ethical breach. We argue that the international scientific community should be aware of this problem and recognize its consequences, which include hindering the accurate dissemination of science, marginalizing underrepresented voices in academia, and impeding scientific progress. We advocate that scientists should compile their reference lists with the same seriousness and integrity they apply to all other aspects of their research.