NISO Plus Baltimore 2025

The rise of openly available and organizationally licensed generative artificial intelligence (GenAI) tools have signalled a paradigm shift in higher education and scholarly publishing. Over the past two years, the consistent point of needing to disclose the use of GenAI, but largely leaving guidance on how to do so in a consistent manner to the discretion of the individual.

This session addresses the current state of recommendation and policy around generative artificial intelligence disclosure in learning and research contexts and introduces the Artificial Intelligence Disclosure (AID) Framework. The AID Framework is a tool that provides a transparent, consistent, and targeted approach to attribute the use of artificial intelligence in teaching and research work. In addition to the introduction of the AID Framework itself, participants will have the opportunity to review sample AID statements, discuss where such disclosure is best integrated in learning and research tasks, and brainstorm potential missing or future criteria for the AID Framework.

Two publishing executives, a consultant, and an accessibility expert walk into a NISO session…. Today more than ever the environment around publishing is in constant flux as technology moves from introduction to plateau of productivity.  Our panel of experts will debate, discuss, and possibly argue over where in the technology hype cycle elements of standards and regulations, content formats, platforms and technologies, and end user products fit onto a modified Gartner hype cycle curve.  It’s fun, fast paced, controversial, and you won’t want to miss the lightning round!

The rapid advancements in Generative AI (GAI) have profound implications on the landscape of higher education and it is imperative that these implications are considered through an inclusive lens. Careful and thoughtful examination of GAI's most impactful applications for teaching, learning and research in the academic environment is necessary to ensure equitable access and outcomes for all students. Many institutions globally have recognized this need. In the Summer of 2023, Ithaka S+R launched a research and consulting project, “Making AI Generative for Higher Education” that assists 18 higher education institutions in identifying ways and areas GAI is poised to revolutionize educational practices, yet these areas are not receiving sufficient attention from our institution or the higher education sector at large. This panel discussion aims to explore the preliminary findings of our ongoing project, which investigates the potential impacts of GAI on research and teaching within the higher education environment, with particular attention to issues of equity and access. Representatives from Stony Brook University and Ithaka S+R will share insights on navigating the evolving educational landscape shaped by generative AI technologies, with a focus on ensuring that these technologies are leveraged to promote inclusivity and reduce barriers to success.