Generative AI and Open Access Publishing: A New Economic Paradigm

Abstract

The integration of generative artificial intelligence (AI) in scholarly publishing presents both opportunities and challenges for open access. AI can streamline workflows, reduce costs, and enhance the discoverability of research, potentially making open access more financially sustainable. However, the same AI capabilities also raise concerns about exclusivity and the creation of a tiered system that limits access to knowledge. Publishers face a strategic decision between embracing open access and leveraging AI for proprietary content and services. Libraries play a crucial role in advocating for open access and ethical AI use, building expertise, and influencing policy development. Balancing the benefits of AI with the principles of equity and inclusivity requires collaboration among stakeholders. By working together, publishers, librarians, and policymakers can harness the power of AI to democratize access to knowledge while upholding ethical standards, fostering a more inclusive and equitable academic community.