FOCUS OF STUDY This study investigates students’ behavioral and perceptual experiences with ChatGPT at The Hong Kong University of Science and Technology (HKUST). By surveying 680 students, it evaluates the frequency of ChatGPT usage, intentions for future use, and perceptions regarding its impact on learning outcomes and career development. The research also examines variations based on demographic factors such as gender, age, discipline, and campus location. The findings reveal significant usage patterns and positive perceptions among students, highlighting the role of AI literacy in enhancing engagement with generative AI tools. POLICY RECOMMENDATION Universities should integrate AI literacy into their curricula, ensuring all students benefit from AI tools like ChatGPT. Targeted training programs should address demographic disparities to promote equitable access and effective use of these technologies. FOCUS OF STUDY The paper investigates the challenges and inaccuracies in estimating greenhouse gas (GHG) emissions from cloud computing, focusing on the discrepancies between location-based and use-based accounting methods. It highlights four main sources of estimation risks, particularly the geographical separation between cloud operations and usage. The study emphasizes the need for accurate emissions accounting frameworks to ensure responsible climate action. By proposing a use-based emissions attribution model and identifying policy interventions such as stricter reporting rules, eco-labeling, and carbon border adjustments, the authors aim to enhance the accuracy of GHG emissions reporting for cloud services. POLICY RECOMMENDATION To improve GHG emissions accounting in cloud computing, implement stricter reporting standards, promote eco-labeling for transparency, and establish carbon border adjustments to address discrepancies between carbon exporters and importers. These measures will enhance the accuracy and accountability of emissions reporting. Jingwei He, Alex, Zhuoni Zhang, Pritish Anand & Sean McMinn. “Embracing generative artificial intelligence tools in higher education: A survey study at the Hong Kong university of science and technology.” Journal of Asian Public Policy (2025): 1-25. Soares, Ian Varela, Masaru Yarime, and Magdalena M. Klemun. “Estimating GHG emissions from cloud computing: sources of inaccuracy, opportunities and challenges in location-based and use-based approaches.” Climate Policy (2025): 1-19. 16 Scholarly Showcase
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