Filed under
Governance, policy, accountability, risk, approved tools, boards and trustees.
This section brings together 16 insights on AI Governance and Responsible Leadership, with research, practical frameworks and lessons from working with leaders.
16 pieces
A new vendor standard can settle what a supplier promises to do with student data. It cannot decide what an AI tool is for in your school, who owns it or what would take it off the list. Approval needs both halves in writing.
Washington bars AI from deciding IEP eligibility but allows it to draft IEP language. England says the same thing in different words. Dan Fitzpatrick reads the rule underneath both, and offers a three-question test for drawing the line in your own organization.
New York and Los Angeles pulled generative AI out of pupils' hands in September 2026. Before your school follows, here are the three questions a restriction has to answer to count as a decision rather than a default, and the four moves that separate lifting one from climbing down.
Responsible AI adoption is not a longer policy or a slower rollout. It is seven behaviours anyone in the building can see, and the most responsible organisations are usually the most ambitious, because they have made it safe to try.
