The two-day forum, which drew 3,000 attendees to Kazakhstan, served as a platform for Zhang to contrast regional approaches to AI integration. While North America focuses on curriculum frameworks and Europe prioritizes ethics and governance, Asian markets are rapidly scaling pilot programs. Despite these geographic differences, Zhang identified a universal challenge: the gap between students’ daily interaction with AI and the struggle of schools to provide meaningful, hands-on instruction.
To bridge this divide, DFRobot advocates for tangible experimentation. Using tools like the HUSKYLENS 2 AI Vision Sensor, students can move away from viewing AI as an abstract black box. By collecting their own datasets and training models, learners observe firsthand how data influences output, a process that inherently introduces lessons on algorithmic bias and privacy. Zhang noted that this practical application allows students to test, analyze, and refine their work.




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