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.
Kari D. Weaver, B.A., M.L.I.S., Ed.D. (she/her) is the Program Manager of Artificial Intelligence and Machine Learning Initiative with the Ontario Council of University Libraries (OCUL) where she leads pilot projects exploring AI augmentations to existing library workflows and designs and delivers professional development training on AI and Machine Learning across OCUL member libraries. Dr. Weaver’s wide-ranging research background includes study of accessibility for online learning, information literacy, academic integrity, misinformation, and she is widely recognized as an expert in AI citation, attribution, and disclosure practices for her development of the Artificial Intelligence Disclosure (AID) Framework.
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.