Five principles for the effective use of AI in vocational education and training development

Artificial intelligence (AI) is increasingly used to support the development and updating of vocational education and training (VET) curricula and qualifications. While AI use can improve efficiency, responsiveness and the use of evidence in VET development, it raises important questions about governance, quality, accountability and ownership. VET development is typically governed by regulated, multi stakeholder processes with strong implications for labour market outcomes and public trust. Without clear VET-specific guidance, AI risks being applied in fragmented ways that may weaken collective decision making, blur responsibility or reinforce divides between stakeholders. This policy brief highlights VET-specific guidance by setting out five principles for the effective and secure use of AI in VET development. The principles emphasise human centred use, diversity and inclusiveness, accountability, transparency, and data quality, security and protection, ensuring that AI supports collective expert judgement and collaborative decision making while strengthening quality, legitimacy and trust in VET systems.