Understand the sector, people and service context.
AI IN EDUCATION
Responsible AI for Education and Learning Organisations
AI governance, literacy and security for schools, colleges, training providers and learning organisations handling student, staff and assessment data.
SundAI helps education and learning organisations establish responsible AI use across staff, students, assessment, learning support, privacy, security, accessibility and AI literacy.
Who this is for
Schools, colleges, vocational providers, training organisations and education teams adopting generative AI or AI-enabled learning tools.
What you receive
- Education AI policy and scenarios
- Staff and leadership AI literacy
- Student-data and supplier review
- Assessment, accessibility and human oversight
How the work runs
Assess data, rights, security and operational risk.
Design proportionate governance and practical controls.
Pilot carefully, measure outcomes and improve.
Frequently asked questions
Should students be prohibited from using AI?
Blanket bans often miss context. Clear learning goals, disclosure, assessment design and role-based guidance are more useful.
Can the engagement be adapted?
Yes. Scope, language, depth and delivery format are adjusted to the organisation, roles and risk context.
Does SundAI claim certification?
No. Work is standards-informed, but SundAI does not claim organisational ISO certification unless a valid certificate explicitly covers the organisation and scope.
Primary standards and sources
These primary sources inform the work. They do not imply certification or endorsement.
Use cases
Related focused pages
AI Governance and Security for the Public Sector
Human-centred AI governance, security, procurement and literacy for municipalities, public services and public-sector organisations in Europe.
Practical AI Governance and Security for European SMEs
Proportionate AI governance, security, supplier review, automation and literacy for European small and mid-sized organisations.
Discuss your needs
Start with a focused conversation about your AI goals, risk and practical next step.