AI, Privacy and Cybersecurity in K-12 Education - A Complete Framework

Learn to navigate the complex intersection of artificial intelligence implementation, student data privacy, and cybersecurity in K-12 educational environments through this comprehensive 46-minute conference presentation. Discover practical strategies for safely integrating AI tools like Microsoft Copilot, Google Notebook LM, Canvas Intelligent Insights, and Canva AI into classroom settings while maintaining robust data protection and security standards. Explore how to build stakeholder buy-in among staff, students, and families when introducing AI technologies, addressing concerns about environmental impact and academic integrity. Master essential data privacy principles including FERPA compliance, data retention schedules, and the principle of least privilege as applied to educational institutions. Develop cybersecurity governance frameworks specifically designed for school districts, including data segmentation, tenant security, and protecting student data as a critical asset. Examine updated academic honesty policies for the AI era and learn to address accessibility considerations when selecting AI tools for diverse student populations. Gain insights into interdepartmental collaboration strategies, policy revision processes, and effective communication approaches for AI-enabled schools. The presentation includes detailed Q&A segments covering AI walled gardens, data protection strategies, specific AI application implementations, and digital citizenship approaches, making it essential viewing for K-12 IT directors, educational technology leaders, school administrators, cybersecurity professionals in education, curriculum leaders, and managed service providers supporting educational institutions.