“AI et al.” The perils of overreliance on Artificial Intelligence by authors in scientific research
Year: 2024
Type: article
Abstract: The rapid integration of Artificial Intelligence (AI) into scientific research and publication processes marks a significant shift in knowledge generation. This transition from traditional literature searches to AI-driven algorithms has accelerated tasks such as writing, editing, and summarizing scientific manuscripts. While AI holds promise for improving efficiency and accuracy, concerns have arisen about its potential misuse and the erosion of scientific integrity.
Source: Clinical eHealth
Institution: Universidad de Las Américas
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $995
OpenAlex ID: W4402564033
