Today’s guest post offers a review of a panel of publishers and editors discussing the pros and cons of using Generative AI, along with ethical and policy implications.
In this episode of SSP’s Early Career Development Podcast, hosts Meredith Adinolfi (Cell Press) and Sara Grimme (Digital Science) chat with Rafal Marszalek, the Chief Editor at Nature’s largest journal, Scientific Reports about publication ethics and research integrity.
What role does/could scholarly publishing play in nature conservation?
What is the Forensic Scientometrics Declaration, and how did it come about? An interview with Dr. Leslie McIntosh.
Without understanding the dimensions of ethics in scholarly communications, our attempts at improving the system through tools and training may not be effective and sustainable.
Robert Harington attempts to reveal inherent conflicts in our drive to be as open as possible, authors’ need to understand their rights, and a library’s mandate to provide their patrons with the enhanced discovery that comes with AI’s large language models (LLMs).
Revisiting Rick Anderson’s 2022 post which asks, are libraries “neutral”? That question is way too simplistic to serve as anything other than a political football.
Promoting research integrity is not just identifying bad behavior: problem articles can also be detected by the absence of ‘honest’ signals of integrity.
Should the authors’ institution make decisions regarding authorship disputes on a paper?
What uses for artificial intelligence (AI) might we expect outside of the publication workflow? Some answers to this question can be found through the lenses of sustainability, justice, and resilience.
An update on how generative AI has progressed and how it has been applied to research publishing processes since ChatGPT was released, looking at business, application, technology, and ethical aspects of generative AI.
Will artificial intelligence fatally undermine the integrity of scholarly publishing? A formal debate from the annual meeting of the Society for Scholarly Publishing.
Looking at five ‘lines’ that the publishing industry has broadly agreed upon, but that now we are finding ourselves crossing.
The Data Hazards project looks at the problems in applying traditional ethical values to research that uses machine learning and artificial intelligence.
FORCE11 and COPE release recommendations on data publishing ethics for researchers, publishers, and editors.