Guest Post — Research Needs a Shared Standard for AI Disclosure
Today’s guest post presents outcomes of the WCRI’s (World Conferences on Research Integrity) Focus Track to address this gap in clarity and standardization of AI disclosure.
Kiera McNeice works on policies and initiatives supporting the transparency of research findings published across Cambridge University Press’s scholarly portfolio. Kiera’s interest in the use of machine analysis as it relates to research outputs dates back over a decade, to a time when “text and data mining” rather than “AI” was the topic of the day. More recently, Kiera helped develop and write the STM Association’s Recommendations for a Classification of AI Use in Academic Manuscript Preparation.
Today’s guest post presents outcomes of the WCRI’s (World Conferences on Research Integrity) Focus Track to address this gap in clarity and standardization of AI disclosure.
The STM Association offers a classification scheme for the various possible uses of AI, including GenAI, in the preparation of manuscripts.