Using AI to personalise candidate support

Can AI help us give RPL candidates more personalised support without undermining assessment integrity? In short: yes, when we’re clear about what AI should and should not do.

At KnowledgeAccess, we’re utilising AI to enhance candidate guidance and feedback in practical and ethical ways. We don’t use AI to assess competence or make decisions, which would breach the Principles of Assessment. Instead, we use AI as a scaffold to help candidates present what they already know in a clear, organised, and relevant way.

AI can help candidates better structure their portfolio, clarify reflections, or summarise documents. This is particularly valuable for neurodiverse candidates, non-native English speakers, and time-poor leaders.

The key guardrails are:

• Candidates must disclose when AI has been used

• Assessors verify authenticity through conversations and evidence checks

• Assessment decisions remain strictly human.

Using AI to personalise candidate support

The message is that when used thoughtfully, AI strengthens the assessment process by improving clarity, confidence, and portfolio quality, while keeping competency judgment firmly in the hands of trained assessors.

Bottom line: let candidates use AI to support, not fabricate, their submissions. Teach them how to use it well and require transparency. Keep assessment decisions in the hands of trained professionals. When smart tools are combined with human judgement, everyone wins: candidates feel more confident, portfolios improve, and assessors can focus on what matters, evaluating valid, sufficient, authentic, and current evidence.