Building on February’s session on validation, this one looks at where AI can genuinely lighten the load — and where it can’t. From spotting calibration drift across assessor judgements to surfacing patterns in assessment data that would take hours to find manually, AI tools can strengthen your validation and self-assurance activity. This session is a practical look at what’s realistic today, what to be cautious of, and how to keep a human decision-maker firmly in the loop.

Key Topics

· Where AI can genuinely support validation and moderation activity today

· Spotting assessor calibration issues and quality trends using data and AI tools

· Keeping human judgement central: AI as a signal, not a decision-maker

· Practical starting points that don’t require a big technology investment

· Risks and limitations to be upfront with your team about

Contact the host of AI-Supported Validation & QA

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