E-resources Licensing in Artificial Intelligence (AI) Environment: Practices and Innovative Ventures

Abstract

E-resources licensing agreements are an essential part of the e-resources ecosystem and are complex legal contracts that the publishers and libraries govern. In these digitally advanced times, agreements have become more complicated due to the rapid pace of technological development and the increasing complexity of electronic resources. Artificial intelligence (AI) in libraries has sparked discussions about its role in e-resources workflows. AI tools aid contract review by flagging problematic terms, and the ability to navigate legal language makes them valuable for libraries and other organisations. However, the role of AI in license review still needs to be explored. The main objectives of this study are to explore the advancement and key features of ERMS and AI tools in the workflow of e-resources license agreements. To explore e-resource licensing practices, highlighting their strengths and limitations in the face of AI's disruptive influence. Also, it explores the issues and challenges that still need to be addressed and how tools can help to enhance the management of e-resources licenses. This study adopts a qualitative research approach to understanding complex and subjective experiences.