116 AI Authorship and Ethics in Academic Publishing for Genomics

The podcast discusses an article co-authored by Andrew Page, examining the use of GPT-4 for research publication. The conversation focuses on the authorship of articles generated by GPT-4 and the implications for academic publishing. Authorship and Ethics: Andrew discusses the question of authorship when AI-generated content is involved in research articles. He explores the ethical implications and potential biases associated with AI-assisted writing, such as the omission of minority figures and novel discoveries. He emphasizes the importance of transparency when using AI and its potential to democratize research, as long as ethical guidelines are maintained. AI & Scientific Journals: The podcast delves into the current landscape of AI in academic publishing. It addresses the commercial use of AI in crafting manuscripts for research articles and the necessity of distinguishing between manual and AI-generated contributions. The possible misalignment of GPT-4's commercial objectives with academic goals is highlighted. Risks and Benefits: Andrew outlines the risks of using AI in publishing, such as unintentional plagiarism, biases, and outdated methods. He provides an example of bioinformatics software recommending deprecated methods, illustrating the need for caution. The conversation also touches upon the AI's potential to introduce bias unintentionally, citing past incidents where AI models quickly adopted extremist views. Andrew's co-authors, Niamh Tumelty and Sam Sheppard, bring different perspectives on ethics and the impact of AI on publishing. Niamh, associated with the London School of Economics, emphasizes ethical considerations, while Sam, editor-in-chief of Microbial Genomics, underscores the need to adapt to the reality of AI contributions in journal submissions. In conclusion, the podcast underscores the importance of recognizing and navigating the ethical challenges posed by AI in academic publishing. It suggests that the technology may evolve faster than policies can adapt, necessitating an ongoing conversation among researchers, publishers, and AI developers. Links: https://microbiologysociety.org/blog/microbe-talk-ai-a-useful-tool-or-dangerous-unstoppable-force.html https://www.microbiologyresearch.org/content/journal/mgen/10.1099/mgen.0.001049