AI Security Literacy: Ecosystem-based Competency Framework and K-12 Learning Platform

Most schools lack AI governance: Only 34.5% of teachers report their school has an AI policy, indicating a significant gap between AI adoption in K-12 education and institutional safeguards to manage its risks responsibly.

Teachers have conflicting views on AI in education: While teachers see AI as beneficial for easing their own work, they perceive student use of AI as complicating learning—suggesting concerns about academic integrity and student skill development that warrant further exploration.

AI security requires its own educational framework: The paper identifies that existing AI-literacy and cybersecurity frameworks don't adequately address AI-specific security threats, establishing the need for a dedicated competency domain that spans technical knowledge, attitudes, and ecosystem-wide practices.

AI system robustness is context-dependent: The research found that how "robust" an AI system appears depends significantly on which attack method is used and which specific trained model is tested, not just the system itself—highlighting that security claims require careful scrutiny and cannot be generalized easily.

Comprehensive ecosystem approach is necessary: The proposed framework spans six dimensions across the school ecosystem (students, teachers, administrators), suggesting that responsible AI adoption requires coordinated competency-building across all stakeholders, not just technical fixes.