An essential guide examining the ethical implications of integrating Artificial Intelligence in school settings. It outlines core principles—such as integrity, transparency, fairness, and privacy—while addressing critical challenges like plagiarism, data security, and equitable access for students.
Contributors:
Developed collaboratively by education leaders and researchers, including Brad Banasik, Cormac Lynn, Ben Rimes, and Mike Roland, synthesizing best practices from national and state education initiatives, academic studies, and policy frameworks.
Intended Audience:
School boards, superintendents, technology and data privacy officers, curriculum leaders, legal and procurement teams, administrators, teacher leaders, union representatives, students, families, and community partners.