Leading AI Responsibly
This section addresses the institutional imperative for strategic AI leadership in educational contexts, examining the risks of policy absence and cultural misalignment.
Understanding AI policy frameworks and governance in educational contexts.
This section addresses the institutional imperative for strategic AI leadership in educational contexts, examining the risks of policy absence and cultural misalignment.
This section presents a five-domain leadership framework for ethical AI integration, addressing vision articulation, capability development, and policy governance aligned with Te Tiriti obligations.
This section operationalises a five-domain framework for AI leadership in educational institutions, encompassing vision and values, capability development, policy governance, infrastructure provision, and evaluation mechanisms.
This section establishes a values-based vetting framework for AI tool procurement in educational institutions, addressing data privacy, Māori data sovereignty aligned with Te Mana Raraunga principles, accessibility, algorithmic transparency, and institutional compatibility.
This section introduces maturity models and governance frameworks for assessing organisational AI readiness, including TEQSA, Jisc, ACODE, UNESCO, and NZQA resources.
This section provides a comparative analysis of AI adoption approaches across education sectors in Aotearoa New Zealand, Australia, and the United Kingdom, examining responses ranging from grassroots experimentation to nationally coordinated strategies.
This section provides structured reflection prompts for institutional leadership to assess AI readiness and identify strategic gaps, addressing visibility, policy coherence, Te Tiriti compliance, data sovereignty, and equitable implementation.
This section provides a curated resource list organized across three domains: Te Tiriti and ethics, strategy and governance frameworks, and teaching practice guidance.