Regulating Generative AI in Scholarly Works: A Policy Brief for Academic Institutions in the Philippines

• Main Authors: Piedad, Eduardo, Jr., Tabud, Shannah Lily C., Alina-Llabado, Jacqueline A., Danao, Dino A., Gironella, Ma. Cecilia A., Lim, Janina, Francisco, Arvic S., Yong, Tae Kim
• Format: text
• Published: Animo Repository 2025
• Subjects: Generative AI; Artificial Intelligence; Scholarly Communication; ChatGPT
• Online Access: https://animorepository.dlsu.edu.ph/apipmibookseries/6; https://animorepository.dlsu.edu.ph/context/apipmibookseries/article/1006/viewcontent/5_Piedad_monograph_final_1_14_25.pdf
• Institution: De La Salle University

This policy brief aims to provide a comprehensive examination of the regulation of generative artificial intelligence (AI) in academic works, with a primary objective of establishing best practices and strategies for academic institutions, government entities, and civil society in emerging economies, notably the Philippines. It entails a review of the existing regulatory frameworks in various governments and academic institutions while also addressing challenges faced in regulating generative AI, particularly focusing on the intellectual property aspects related to the use of generative AI tools, such as ChatGPT, in academic research content or scholarly works output from such use of tools. The scope encompasses regulations in both developed nations such as Europe, the U.S., and China and developing countries, including Association of Southeast Asian Nations (ASEAN) members, with a specific emphasis on the Philippine context. In conclusion, this study underscores the transformative potential of generative AI in education, leading to varied regulatory approaches in academic institutions. While some universities have established provisional guidelines for responsible AI use, national governments are still crafting comprehensive policies to navigate the disruptive technology landscape. As a result of this study, we have developed proposals for each stakeholder, providing guidelines and recommendations for academic institutions, government entities, and civil society to create robust regulatory frameworks that foster responsible and innovative AI utilization in academia, address intellectual property concerns, especially on generative AI assistance, and provide clarity on AI technology deployment within educational settings.