Responsible AI in education, grounded in professional practice

AI is already part of educational practice. The questions educators raise are rarely technical, they are about what is appropriate, what is safe, and how professional judgement should be applied in real contexts.

The Institute of AI in Education (IAIE) is an independent organisation supporting responsible, evidence-informed use of AI in education. We work with schools, trusts, and partners to translate national guidance into practical decision-making support, professional learning, and carefully designed pilot programmes.

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Thoughtful Use of AI in Education

IAIE focuses on the thoughtful application of AI where it can genuinely support educational practice without undermining professional judgement, safeguarding, or public trust. Our work prioritises responsibility, proportionality, and alignment with sector expectations rather than rapid or untested adoption.

Responsible Use

Supporting safe, ethical and appropriate approaches to AI within education settings.

Professional Practice

Helping educators understand practical uses that align with professional judgement.

Evidence-Informed Learning

Testing approaches through small-scale pilots to learn what is genuinely helpful.

Who We Work With

Schools and Trusts

Educators and Practitioners

Team Discussion 1

Funders and Public-Interest Organisations

Research and Professional Bodies

Why IAIE Matters

AI is already being used in schools, often without shared frameworks, consistent guidance, or clear oversight.

IAIE exists to support schools and education partners in making responsible, defensible decisions about AI grounded in professional judgement, safeguarding, and national guidance.

We focus on decision support, not tools; learning, not hype; and practice that protects learners and public trust.

Design and Deliver Pilot Programmes

Promote Responsible and Ethical Practice

What Sets Us Apart

Practical, not theoretical

We focus on what works in classrooms, not abstract predictions about technology.

Teacher autonomy first

Human judgement remains central; AI simply strengthens it

Ethics and safeguarding first

Real risks, including bias, data protection, and transparency, are explicitly recognised and addressed.

Evidence over hype

Impact is measured, documented, and shared responsibly.

Our Work

Supporting responsible AI use in education

The Institute of AI in Education (IAIE) works with schools, educators, and partners to support the thoughtful, ethical, and evidence-informed use of artificial intelligence in education.

Our work focuses on practical decision-making, not technology promotion. We help educators understand where AI may be appropriate, how it can be used safely, and where clear limits and professional judgement must remain central.

Evidence-Informed Practice

IAIE supports educators to explore AI use through structured pilots, professional development, and reflection, ensuring decisions are informed by evidence, safeguarding requirements, and professional judgement.

Responsible AI use begins with clarity, boundaries, and professional confidence.

FAQs

The Institute of AI in Education supports the responsible and evidence-informed use of AI across education.

No. IAIE does not sell AI tools; instead, we focus on providing guidance, conducting research, and promoting good practices.

Schools, educators, researchers, funders, and public bodies.

Yes. Our work aligns with the UK Department for Education guidance on AI, safeguarding, and data protection.

AI can be used safely when appropriate safeguards, transparency, and professional judgement are in place.

Schools and organisations can contact IAIE to explore pilot partnerships and collaboration.

Contact IAIE

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Educational resources

Practical AI guidance for educators and education leaders

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Responsible AI in Education

Working with educators and partners

Start a thoughtful conversation about AI in education

If you are exploring responsible approaches to AI, we welcome conversations with schools, educators, and partners interested in careful, evidence-informed work.