Ethics, data privacy and algorithmic bias
Using AI responsibly means understanding the risks.
This section provides tools and frameworks for evaluating data privacy, bias in algorithms, and the broader ethics of automation in education. Learn how to apply critical oversight, develop organisational guidelines, and ensure AI use protects both learners and educators.
| At the bottom of the page are some questions that you can use as a starting point for discussions about AI or where to go next with integrating GenAI tools into your own teaching practice. |
Using AI responsibly starts with the right questions
AI can be a powerful educational tool — but like any powerful tool, it comes with risks. Who owns the data we input? Can AI be biased? How do we ensure we’re protecting learners while still exploring what AI can offer? This section helps you navigate the ethical landscape of AI in education.
Common questions educators are asking
As AI enters classrooms and admin systems, educators across Aotearoa are asking:
- Can I safely use AI with student data?
- How do I explain AI limitations to learners?
- What if an AI tool gives biased, offensive, or inaccurate output?
These concerns are real — and worth slowing down for. Critical oversight and clear boundaries matter.
Start with trust and transparency
Ethical AI use isn’t just about policies. It’s about relationships — with your learners, your organisation, and the wider community. Building trust means being open about what AI is, what it isn’t, and how it should be used.
Steps you can take now:
- Avoid pasting private student data into public AI tools
- Talk to your students about how AI works (and what it gets wrong)
- Explore tools with better privacy settings or institutional controls
Educators have a powerful role to play in shaping a culture of ethical curiosity and critical engagement.
Where to now?
Consider these questions to inform your next steps with GenAI tools in education.
Educator:
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What do I need to know about how AI tools use learner data—and how do I explain that to my students? |
Team Leader / Manager:
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Do we have clear guidelines for staff on what’s ethical when using AI for planning, marking, or communication? |
Governance / Policy Role:
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Are we actively monitoring for algorithmic bias or harmful data practices within our AI systems and partnerships? |
All:
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Who is accountable for AI misuse in education—and how do we make those responsibilities clear? |
Want to explore more?
Practical tips | Ethics and AI — A Starter Guide for Educators
This page helps educators explore the ethical use of AI in ways that uphold cultural values, learner rights, and trust in education.
Navigating bias, transparency, and data sovereignty in Aotearoa classrooms.