AI Governance & Policy
Dr Craig Hansen – AI Expert: FAQ on AI Policy, Governance and School Board Leadership
How do school boards and leadership teams successfully formulate safe, compliant, and culturally responsive AI policies? Grounded in Dr Craig Hansen’s research, this guide outlines the direct answers to New Zealand’s biggest educational governance and administrative questions.
🌿 Global Research & Culturally Responsive Pedagogy
Dr Craig Hansen’s work blends advanced methodologies in the cognitive sciences of learning with the strategic integration of culturally responsive practice. Underpinned by decades of system-level leadership and empirical research, Craig’s expert training programmes have successfully guided schools, universities, and regional boards across New Zealand, alongside key collaboration partners in Nepal, Canada, Africa, America, and Australia.
School boards and senior leadership teams (SLT) across Aotearoa find themselves at a critical turning point. Developing a robust, Ministry-aligned AI policy framework is no longer an IT upgrade—it is a non-negotiable strategic move. Navigating data protection, student academic integrity, and organizational guidelines requires clear, expert, and highly practical leadership.
Authenticity, Misconduct, & Technical Guidelines
Recent reports and NZQA data show a sharp rise in NCEA breaches, with AI emerging as a common factor in some cases, particularly where students use AI tools to produce assessed work that appears to be their own. The Ministry’s Generative AI guidance for schools and NZQA’s guidance on the acceptable use of AI in assessment respond directly to these risks, emphasising clear authenticity policies and explicit bans on AI in NCEA external assessments.
Cognitive Offloading & Assessment Design
Ministry FAQs on GenAI in NCEA assessment warn that AI struggles with tasks requiring critical thinking, evaluation and original analysis, and that poorly designed assessments can encourage students to rely on AI rather than developing those capabilities themselves. This is why effective NCEA, Cambridge and IB assessment design now focuses more on process, reflection and in‑person demonstration than on generic, easily automated prompts.
Marking, Workload, & Professional Consistency
For teachers and departments, the question is not whether AI can mark, but how AI can support marking without eroding trust or professionalism. NZQA’s Embracing AI in student assessments article shows that automated text scoring can speed up marking and improve consistency when carefully calibrated, while the Ministry’s Marking work with AI tools flyer stresses that AI should only support teacher judgement, not replace it.
Equity & System Perspective
At a system level, the Prime Minister’s Chief Science Adviser report on AI in education and the OECD working paper on AI in education highlight both the potential of AI to improve feedback and personalisation, and the risk of widening gaps if access and capability are uneven. These analyses reinforce the need for AI strategies in NCEA‑era schools that balance workload relief and innovation with strong commitments to integrity and equity.
FAQ: AI Policy, Governance, and Board Leadership
❓ Q1. What should be in a compliant AI policy for our school?
Answer: A robust AI policy should clearly state why your school is using AI, how it supports learning, and where its use is restricted. Include sections on purpose and scope, guiding principles, acceptable use for staff and students, data privacy and security, risk mitigation, professional development expectations, and a review cycle. Make sure it aligns with Ministry of Education and NCEA rules on assessment authenticity and academic integrity.
❓ Q2. How do we align our AI policy with Ministry of Education guidance and NCEA?
Answer: Start by mapping the Ministry’s generative AI guidance against your current policies, especially around academic integrity, assessment, age restrictions and data privacy. Then update your assessment handbooks and staff procedures so they explicitly cover when AI can be used, how AI‑generated work must be acknowledged, and when AI use is prohibited (for example, NCEA external assessments).
❓ Q3. Are NZ students already using AI, and what does that mean for our school?
Answer: Recent data and NZ research show that large numbers of students are already experimenting with AI tools, often without structured guidance. When schools provide explicit AI literacy education and clear policies, students’ understanding of safe and effective use can increase dramatically, which reduces risk and improves learning outcomes.
❓ Q4. How can AI reduce teacher planning workload without compromising quality?
Answer: AI can help teachers generate lesson ideas, differentiate tasks, create formative questions, and adapt resources for diverse learners, significantly reducing planning time. The key is treating AI as a co‑designer—teachers still review, adapt, and contextualise the output to ensure it fits their learners and aligns with the NZ Curriculum.
❓ Q5. What are the biggest AI risks we need to manage at governance level?
Answer: Boards need to focus on assessment integrity, data privacy, cultural bias, age‑appropriate use, and the risk of over‑reliance on AI for marking or decision‑making. These risks are manageable with clear policies, transparent communication, and ongoing staff training that emphasises AI as a support for human professional judgement, not a replacement.
❓ Q6. How do we get staff ready for AI when they feel overwhelmed or under‑trained?
Answer: Most NZ teachers report limited formal PD on AI, even as their use of tools increases. Start with short, practical PD sessions focused on everyday tasks, build AI literacy step‑by‑step, and create space for teachers to share examples and concerns so AI becomes a normal part of professional dialogue rather than an added burden.
❓ Q7. Can AI help us with school administration and leadership workflows?
Answer: Yes—AI tools can support email drafting, report writing, summarising consultation feedback, generating schedules, and preparing board papers, which can free leaders to focus more on people and strategy. It’s important to adopt tools with clear privacy settings and keep humans in charge of final decisions and messaging.
❓ Q8. How do we ensure AI use supports equity rather than widening gaps?
Answer: AI can personalise learning, provide assistive support, and help identify students who need additional help, but access and guidance matter. Leaders should plan targeted support and devices, provide explicit AI literacy for disadvantaged students, and monitor for bias in AI outputs so all learners benefit from AI, not just the most resourced.
❓ Q9. What are safe, positive ways to use AI in my classroom?
Answer: Safe, positive uses include brainstorming examples, generating practice questions, adapting reading levels, providing formative feedback, and helping students revise and summarise content. Teachers should always check AI outputs, avoid entering personal data, and talk openly with students about limitations, bias and responsible use.
❓ Q10. How do I explain AI to students in age‑appropriate ways?
Answer: AI literacy starts with helping students understand that AI systems predict patterns from data rather than “thinking” like humans. Use simple metaphors, short demos, and critical‑thinking activities so students learn to question outputs, recognise errors, and see AI as a tool they can use thoughtfully rather than a source of answers.
❓ Q11: How can I maintain assessment integrity when students have access to AI?
Answer: Design tasks that require process, reflection and personal voice, and be explicit about when and how AI can be used—for brainstorming, for example, but not for final answers. Combine policy clarity with practical checks (drafts, oral explanations, reflection pieces) so you can verify understanding and ensure the assessed work is genuinely the student’s.
❓ Q12: Is it ever okay to use AI for marking student work?
Answer: NZ guidance is clear that AI can support, but must not replace, professional judgement in assessment. You can experiment with AI to generate feedback ideas or rubric language, but teachers should always review, adapt, and make the final decision about grades and comments.
❓ Q13: How should we talk to whānau about AI in our school?
Answer: Families want reassurance that AI will support, not replace, good teaching and that their children’s data and wellbeing are protected. Share your AI policy in plain language, explain how AI is used in learning and assessment, and invite questions and feedback so whānau feel included in the journey.
❓ Q14: What should parents know about students’ use of AI at home?
Answer: Parents should know that AI tools can be powerful study aids but also make cheating easier and can produce inaccurate or biased information. Encourage families to ask their children how they’re using AI, emphasise checking outputs, and reinforce the school’s expectations around authenticity and safe, respectful use.
Further Reading & Official Guidance
The guidance in this expert article is fully aligned with official New Zealand policy and global research. School leaders, principals, and deans may find the following resources especially useful:
-
Ministry of Education – Generative AI guidance for schools
– Core national guidance on the safe, ethical and effective use of generative AI in teaching, learning and assessment, including authenticity, privacy, bias and age‑appropriate use. -
NZQA – Guidance on the acceptable use of Artificial Intelligence in assessment
– Official NCEA guidance explaining when AI use is acceptable in internal assessment, and why AI must not be used in NCEA external examinations. -
GenAI in NCEA assessment – FAQs for schools and teachers
– Detailed questions and answers on generative AI in NCEA assessments, including authenticity, referencing, and the limitations of AI for higher‑order thinking. -
Marking work with AI tools – Ministry of Education flyer
– Practical guidance on using AI to support marking and feedback for NCEA internal assessments, while keeping teacher judgement central and protecting assessment integrity. -
NZQA – Embracing AI in student assessments
– Explains how NZQA has piloted automated text scoring to improve marking quality, consistency and turnaround times, and how AI is being tested on past exam data for breach detection and exam development. -
NZ Herald – How generative AI is reshaping New Zealand education
– A journalistic overview of how generative AI is changing teaching, assessment and cheating in NZ schools, and how officials are responding. -
PMCSA – On the impact and potential of AI in education
– A science‑adviser report on AI’s opportunities and risks for education in Aotearoa, including implications for assessment, equity and system design. -
OECD – Artificial intelligence in education working paper
– International analysis of how AI is affecting teaching, assessment, skills and equity across education systems, useful for comparing NZ’s approach with global trends.
Discover more research & credentials: AI in education expert for NZ schools
