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We’re all using AI for course design, but how do we trust the output? I’ve outlined a framework for validating AI content, covering risk-based QA, prompts for effective SME reviews, and the documentation needed to maintain quality
AI is great for drafts, but how do you verify the output? I’ve mapped out a practical risk-based QA framework, shared effective SME review prompts, and explained why solid documentation is your best defense
AI is great for drafting, but your QA process needs an update. I’m sharing how to use risk-based QA, tailored SME review prompts, and better documentation to keep your training accurate. Let’s ensure AI remains a tool, not a liability.
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