Presentation Schedule
A Discussion Between Deepseek and Western Generative AI Programs on the Topic of the Future of U.S. and Chinese Universities (105953)
Session Chair: David Smith
Tuesday, 12 May 2026 09:30
Session: Session 1
Room: Room G407 (4F)
Presentation Type: Oral Presentation
Many Humanities and Social Science (HSS) scholars regard Generative AI (GAI) with suspicion – especially around research. This distrust relates to data privacy, transparency, and reliability of the generated data. GAI does offer the potential for predictive analytics within research that is not a common practice within the HSS domain. However, reliance on a single GAI program entails dependence on its algorithm and training datasets. This exploratory paper tests the predictive analytic functions of Deepseek, ChatGPT, Claude ai, and Gemini; where the topic for experimentation relates to the future of universities in USA and China. The findings suggest some commonality between Deepseek with the other GAI programs; there was some variability in its predictive output amongst the individual GAI programs. In this context, the use of multiple GAI programs provides a holistic picture for predictive analytics. Implications from this paper notes predictive analytics, from these GAI programs, could revolutionise HSS research and pedagogy.
Authors:
Dennis Lam, Independent Scholar, Australia
About the Presenter(s)
Mr Dennis Lam is a University Doctoral Student at Western Sydney University in Australia
See this presentation on the full schedule – Tuesday Schedule
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