What ASQA’s AI principles mean for early childhood educator training

New guidance gives registered training organisations a framework for using artificial intelligence while protecting the integrity of training and assessment. For early childhood qualifications, the distinction between helping someone learn and demonstrating what they can do in practice is particularly important.

Artificial intelligence can help a training provider develop resources, adapt learning materials and support students. It can also make it harder to establish whether an assessment reflects a student’s own knowledge and skills.

That distinction is central to the five principles for the responsible use of AI in vocational education and training released by the Australian Skills Quality Authority (ASQA) on 30 July 2026. The principles apply to registered training organisations (RTOs), including those delivering early childhood education and care (ECEC) qualifications. They do not introduce new regulatory requirements; ASQA says they help providers interpret and manage AI use within existing obligations, including the 2025 Standards for RTOs. ASQA’s announcement explains the purpose of the guidance.

ASQA’s principles address governance, human oversight, information security, student equity and alignment with the requirements of the training product. Each is accompanied by questions providers can use to examine how AI is being used in their organisation.

For RTOs delivering qualifications such as the Certificate III in Early Childhood Education and Care and the Diploma of Early Childhood Education and Care, AI may help create practice questions or explain a concept in another way. It cannot establish, on its own, that a student can carry out required work with children.

ASQA’s assessment practice guide says assessment must be consistent with the training product and include practical application where required. Assessors must be satisfied that evidence is sufficient, current and genuinely the student’s work. The guide identifies AI-generated assessment evidence as one issue providers need to consider when checking authenticity. It also identifies failure to assess students on placement, where direct observation is required, as a risk.

This gives the AI principles a concrete ECEC application. An AI tool could assist a student to prepare for a workplace conversation or understand an assessment instruction. The RTO still needs evidence that the student personally demonstrated the required skills under the conditions specified for assessment. Qualified assessors remain responsible for the judgement of competence.

ASQA’s second principle states that decisions affecting students remain the responsibility of qualified trainers, assessors and staff. AI-generated feedback or a suggested assessment outcome must therefore be reviewed in context by the people accountable for the decision.

The same principle matters when AI is used to develop course content. A plausible response can still be inaccurate, too general or unsuitable for a particular student cohort. ASQA asks providers to consider who checks AI-supported material before it is used in training or assessment, and whether staff can recognise an output that is incomplete or unsuitable.

For ECEC training, that review should include whether materials reflect the relevant qualification and the realities of practice in regulated services. This is an editorial application of ASQA’s guidance, rather than an additional requirement created by the principles.

ASQA also calls on RTOs to examine how AI tools collect, use, store and share information. Providers remain responsible for due diligence when using an externally supplied tool, particularly where student or organisational information could be entered into it.

The equity principle asks whether AI improves access and support for students without creating new barriers. A tool that helps explain material may be useful; one that assumes every student has the same digital access, language needs or confidence may work less well. ASQA places responsibility for those choices with the provider.

For ECEC employers hosting students on placement, the immediate obligation remains to work with the RTO’s established training and assessment arrangements. ASQA’s principles are directed at VET providers, rather than creating a new AI compliance scheme for early childhood services.

The practical question for an RTO is where AI assists learning and administration, and where direct evidence and professional judgement remain essential. ASQA’s guidance permits providers to explore the technology while keeping the quality of training, the authenticity of assessment and accountability for decisions in view.