Project Summary :
This Virtual Exchange / Global Learning Experience brought together students from DePaul University and Hong Kong University to examine how generative artificial intelligence is transforming business practices across different countries and regions. Through cross-cultural collaboration, student teams compared the definition, adoption, regulation, and strategic use of generative AI in selected global contexts, while considering the impact of local regulatory environments, language and cultural limitations, and potential biases in AI-driven decision making. The project emphasized research-based analysis and international teamwork, providing students with firsthand experience in navigating the opportunities and challenges of deploying generative AI in today's global business environment.
Project Length:
- 5 weeks (3 weeks of active collaboration, 1 week pre-GLE, 1 week post-GLE)
Technology Tools Used:
- Zoom / Microsoft Teams
- WhatsApp
- Google Docs
- Google Slides
Interaction Mode :
Learning Outcomes :
- Students analyzed and interpreted key business practices and frameworks for the adoption and use of generative AI across different countries and regions.
- Students evaluated technological, regulatory, and ethical risks associated with generative AI in diverse regional and institutional contexts.
- Students demonstrated intercultural competence by respectfully engaging with and learning from international peers to understand how cultural perspectives shape AI-related business decisions.
- Students assessed global interconnectedness and interdependencies by examining how regional approaches to generative AI influence multinational organizations and the sustainable use of global resources.
Faculty Feedback:
"A key highlight of the GLE was the collaboration between undergraduate and graduate students across institutions and disciplines, which enriched discussions and deepened learning. Students valued working with international peers to compare regional approaches to generative AI, strengthening their communication, teamwork, and global perspective despite time-zone differences."
~ David Wang
"Over just three weeks, students turned what many described as a 'communication intensive' task into a genuinely rewarding collaboration. They moved from initial introductions to lively, nuanced conversations about how generative AI is used in Hong Kong, Chicago, and beyond, often drawing on their partners' firsthand experiences to challenge their own assumptions. Several students told me it was 'refreshing and fun' to work with someone outside their class and that it became one of their first truly positive group work experiences. They applied lecture concepts to real countries and industries, managed a 12-hour time difference with surprising maturity, and strengthened their confidence in speaking up, listening carefully, and planning together."
~ Wing Han Vera Yuen
David Wang
Institution: DePaul University
Discipline: School of Accountancy and MIS
Course name: Audit Analytics
Wing Han Vera Yuen
Institution: Hong Kong University
Discipline: Economics
Course name: The Political Economy of AI and Big Data