UNESCO’s guidance on generative AI in education and research proposes a human-centred approach to the technology. It discusses ethical and policy questions, privacy and age-appropriate use. For institutions exploring AI, the publication is a reference for planning responsibilities rather than a substitute for local policies or professional judgement.
What it means for your team
A useful local application is to define the review step before staff begin using generated material. A draft lesson or message should have an accountable person who checks its facts, suitability and intended audience.
Turn the idea into a working routine
- Choose an approved low-risk training exercise with fictional information rather than real learner records.
- Ask the responsible teacher to review the generated material against the learning intention and appropriate references.
- Document which tasks remain outside the trial and where staff can ask questions.
Measure what matters
Review the corrections needed and whether participants understand the review responsibility, not only how quickly a draft appears.
A fluent output can still contain errors or unsuitable assumptions. The publication should not be read as an endorsement of a particular tool.
What should the team agree before putting this into practice?
Agree the trial boundaries and the human approval point before any generated content reaches learners or families.
MAKE IT PRACTICAL
Your planning checklist
Use this checklist during a team discussion. It tracks your planning progress, not a score of your institution’s quality. Selections stay in this page and are not submitted.
AI assistance needs an accountable human decision.
Sources & context
The source supports the industry summary. The action plan is Hi Class’s practical interpretation, not a claim that the source endorses a product.
About this archive: 5 September 2026 is the collection’s reference date. This article was prepared and published on 7 November 2026. It is AI-assisted editorial content; examples are illustrative and do not describe a specific customer deployment.
