Toward an AI Policy Framework for Research Institutions

Digital Policy Hub Working Paper

February 15, 2024

Research institutions, for example, research libraries, archives and universities, are an essential part of society that are at high risk for artificial intelligence (AI) adoption within basic systems such as search and cataloguing functions. No existing legislation or policy framework addresses the research sector or research institutions as a priority. Given its basic societal function, it is imperative that comprehensive AI policy be developed for the research sector in a collaborative, multi-stakeholder process. This working paper surveys existing policies for AI in universities, ethical frameworks for library and archive associations, and existing international and national policies that are relevant to helping to construct a policy framework based on existing norms, practices and values. The core values of preserving information, preserving context, promoting accessibility, ensuring sustainability and fostering transparency are the foundational principles on which a policy for AI use in research institutions should be built and the Canadian landscape is well placed to lead international cooperation on this issue.

About the Author

Matthew da Mota is a post-doctoral fellow at CIGI’s Digital Policy Hub, where he researches the uses and governance of artificial intelligence and large language models within universities and public research institutions.