AI VISION

AI VISION & AI ASSURANCES…

Publish an AI VISION and issue an AI ASSURANCE STATEMENT to all stakeholders which defines the basics of your responsible implementation of AI across the school, academy or trust.

The principles set out below are also available as downloadable exemplar ‘AI Vision’ and ‘AI Assurance’ statements: See ‘Step 1′ of the ‘Three Steps Model‘ section of this website.

Set Your Own Ethical Standards: AI Vision

Summary: AI is now woven into the daily life of schools through lesson‑planning tools, automated marking suggestions, predictive analytics, filtering systems, and pupil‑facing chatbots. Because these systems shape decisions, influence behaviour, and mediate information, they carry ethical weight. For church schools, this weight is even greater because technology directly interacts with the school’s Christian vision, safeguarding responsibilities, and commitment to human dignity.

AI ethics matters because AI affects formation, safeguarding, justice, accountability, and the school’s Christian identity. It influences who pupils become, how staff work, and how leaders make decisions. Without ethical reflection, AI can subtly shift a school’s culture toward efficiency and automation rather than wisdom, compassion, and relational presence.

Church schools must therefore ensure that the use of AI is intentional, values‑led, and rooted in a theological understanding of the human person.”

Key Principle: Ethical use of AI is not a technical preference; it is a moral responsibility requiring the creation and communication of an intentional vision.

Practical Action: Create a whole institution & informed AI Vision statement.

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Make an Ethical Commitment: AI Assurance Statement

Summary: To be a church school or trust means drawing on our Christian beliefs and values to deploy AI ethically, in ways that reflect our AI Vision. To do this, we can create a set of underpinning, theologically driven principles and core reflections that act as touchstones for our implementation journey. This results in the creation of an AI Assurance statement and the consideration of institution-level AI principles of use to be used for discussion and discernment by leaders and governors:

AI Assurances: Published commitments regarding AI use that serve to reassure, protect and nurture.

AI Principles: Formed from an assessment of potential opportunities and risks, guiding the specification of an AI implementation model.

Key Principle: Such principles and core reflections can be developed into AI-specific terms of reference that can be adapted and used to frame an institutional-wide approach.

Practical Action: Create and publish a statement of AI Assurance that specifies the core commitments for institution-wide AI use and provides terms of reference for its monitoring and evaluation.

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Know what AI is and isn’t: AI Literacy

Summary: AI can analyse complex data, generate text, images, explanations, translations, and feedback. It can support accessibility, reduce workload, and personalise learning. However, AI is not conscious, relational, moral, or autonomously wise. It can categorise context but not empathise with it, accept accountability, or exercise pastoral judgement.

This makes AI a powerful assistant but a poor decision‑maker. It must never replace teachers, leaders, chaplains, or pastoral staff. It must never simulate spiritual authority or relational care. AI can support preparation and delivery, but it cannot replace presence.

Key Principle: Understanding what AI is—and what it is not, though it sometimes pretends to be—is essential for safe, ethical, and theologically grounded use. It can never replace human presence.

Practical Action: Make sure staff have access to training that sensitises them to these limitations, using discussion and case studies.

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Know What We Are Nurturing: Childhood

Summary: Childhood is a unique, irreplaceable stage of life defined by growth, vulnerability, curiosity, spirituality, and emerging independence.

In an AI‑shaped world, protecting childhood means safeguarding not only traditional features—safety, love, play, learning, identity, fairness, and wonder—but also ensuring that AI is used ethically, safely, and in ways that enhance rather than erode children’s development.

Key Principle: The challenge is not to shield children from AI entirely, but to ensure it serves their best interests and preserves the essence of childhood.

Practical Action: Ensure that all instances of AI deployment are specialist-led, using a professional implementation model, supported by an evaluative framework accompanied by appropriate training.

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