Guidelines on the use of Artificial Intelligence for authors, reviewers, and editors of APJCN
Abstract
Generative artificial intelligence (AI) is an emerging technology with substantial potential to support scientific research. Scientific communities across various disciplines are actively exploring its capabilities, including its application in scientific writing, peer review, and editorial processes. However, the inappropriate use of AI may lead to academic misconduct and compromise research integrity. To promote the responsible and ethical use of AI by authors, reviewers, and editors, APJCN has developed these guidelines. The guidelines are based on widely accepted ethical principles within the scientific publishing community. Given the rapid evolution of generative AI technologies, these guidelines may be updated and revised as necessary.
Read the paper
Related studies
- Knowledge Management Perspective of Generative Artificial Intelligence
- Navigating Generative Artificial Intelligence Promises and Perils for Knowledge and Creative Work
- Characterizing the evolving research on enterprise content management
- Large language models and multimodal foundation models for precision oncology
- From Generative AI to Extended Reality: Multidisciplinary Perspectives on the Challenges, Opportunities, and Future of Educational Computing
- Generative Artificial Intelligence: A New Engine for Advancing Environmental Science and Engineering
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.