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AI is increasingly used across the vocational education and training (VET) sector in training delivery, assessment design, student support and provider operations. As its use grows, there is a stronger need for a clear and practical approach that supports quality, integrity, student protection and public confidence.
How we developed the principles
The principles were developed through a combination of sector engagement, environmental scanning, research, and review of relevant regulatory and policy settings. We considered how AI is being discussed and adopted across education and training, examined the opportunities and risks most relevant to VET, and reviewed how existing regulatory settings apply when new technologies are used. This included considering the intent of the 2025 Standards, the broader compliance framework, and related guidance materials that support interpretation and application of the Standards. We gathered input through surveys, conferences, sector forums, our 2026 ASQA Sector Workshop series and consultation with key stakeholder groups.
Why we chose a principles-based approach
We adopted a principles-based approach because AI is evolving quickly and providers need guidance that can be applied across a range of contexts. The use of AI technologies can vary widely depending on the provider, the training product, the student cohort and the purpose for which AI is used. A principles-based approach gives providers a practical way to make decisions about current and future AI use and apply judgement in changing circumstances, while staying focused on quality outcomes. It also fits with the outcomes-focused design of the 2025 Standards, which are intended to support a more flexible, robust and quality-driven approach to regulation.