Description
While emerging technologies and generative AI have led to significant challenges to education and research, there exist new opportunities that scientists and educators can seize to enhance the quality of education and impact of their research. The latest immersive technologies, when combined with new AI tools and methods, can generate tremendous power in this regard. In this talk I highlight how we can integrate the perspectives of humanities with computational and neuroscientific approaches to improve education, language technology development, and societal impacts. Specifically, it is important to study how human learners differ from AI models and how such differences may inform educators to design effective teaching and learning tools. Further, many current AI models suffer from biases, imprecision, and hallucination because they are trained on random or non-embodied text data, and to improve AI’s efficiency and accuracy we need to collect and analyze high-quality human-oriented data. I will provide examples to illustrate these integrative approaches from our current work.| Period | 10 May 2025 |
|---|---|
| Event title | Joint Symposium on Emerging Technologies and Future Talent By Harvard, Stanford and The Education University of Hong Kong |
| Event type | Forum/Symposium |
| Location | Hong Kong, ChinaShow on map |
| Degree of Recognition | International |
Keywords
- 人工智能
- AI
- AI Writing
- AI Assessment