This report by Ithaka S+R examines the potential transformative effects of generative AI on the scholarly publishing industry, analyzing whether it could lead to a 'third transformation' in this sector. Through interviews with key industry stakeholders, the report explores two potential scenarios: an incremental change enhancing existing processes and a disruptive transformation that could significantly reshape scholarly communication. It delves into how generative AI tools are already impacting search, discovery, writing, and peer review processes, with a focus on efficiencies and challenges around maintaining the trustworthiness of the scholarly record. Strategic recommendations for stakeholders include developing shared infrastructure, creating ethical guidelines, and updating metrics to measure AI-related impacts. The report highlights the importance of balancing human oversight with AI capabilities to ensure integrity and transparency in scholarly publishing.
Authors
- Pages
- 31
- Published in
- United States of America
Table of Contents
- Introduction 3
- Methodology 4
- Strategic Context 5
- Transitioning towards Service Provision 5
- Consolidation and Competition 9
- Humans and Machines 13
- Establishing a Trusted Global Public Good 16
- Calculating Impact 17
- New Opportunities for the Shared Infrastructure 18
- Spine of the Scholarly Record 19
- Research Integrity 20
- Making Meaning 23
- Supporting New Business Models 26
- Second headline 27
- Recommendations 20
- Recommendations 23
- Recommendations 25
- Conclusion 27
- Recommendations 27
- Appendix A: List of Interviewees 29
- Appendix B: Interview Questions 30