Artificial Intelligence and Machine Learning are already shaping how students learn across content areas. This hands-on session focuses on best practices for integrating AI/ML concepts into computer science and other classrooms, emphasizing computational thinking, ethical use, and student understanding over the use of tools alone. Participants will explore how machine learning systems are trained, identify sources of bias, and experience classroom-ready strategies that connect CS concepts to real-world applications in core subjects. Attendees will leave with practical frameworks, activities, and resources to confidently integrate AI across disciplines.
