AI Safety in Education: Preparing the Next Generation for Responsible AI Development

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About

Artificial intelligence is rapidly transforming industries, yet discussions around AI safety often
remain confined to research labs and policy circles. What happens when the next generation of
AI engineers and decision-makers lacks the knowledge to build AI systems that are safe, ethical,
and aligned with human values?

Despite the growing importance of AI safety – AI safety, Japan—and Shibaura Institute of Technology (SIT) in particular—has yet to offer dedicated courses on this critical topic. Recognizing this gap, I launched a graduate-level AI Safety course to bridge the divide between theoretical research and real-world implementation.

This talk explores why AI safety education is urgently needed, the challenges of introducing AI
safety into academic curricula, and how we can equip students with the mindset and tools to
ensure responsible AI development. I will share insights from designing and teaching this course,
covering key topics such as AI alignment, reward mis-specification, and responsible AI governance.

By embedding AI safety into education, we can shape a future where AI technologies serve
humanity rather than pose unintended risks. How can we ensure that tomorrow’s AI
professionals make ethical and safety-conscious decisions? The answer starts in the classroom.

Start time

JST UTC+09AEDT UTC+10PST UTC-08EST UTC-05GMT UTC+0
Feb 27th 14:00Feb 27th 16:00Feb 28th 21:00March 1st 00:00

Bio

PHAN XUAN TAN is an Associate Professor in the College of Engineering at Shibaura Institute of Technology (SIT), Japan. His research interests include computer vision, deep learning,
autonomous robotics, and AI safety. Motivated by the growing need for responsible AI development, he recently launched a graduate-level course on AI safety at SIT to equip students with the knowledge and tools to address critical safety and ethical concerns in AI systems.

Dr. Tan has held various leadership roles, including serving as Vice Director of SIT’s Innovative
Global Program, an English-based research-oriented undergraduate program. His work bridges
technical research with educational initiatives, aiming to foster a generation of engineers and
researchers dedicated to the safe and ethical deployment of AI technologies.

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