Calibrate Your Collaboration with AI
The Verification Workflow
Lesson Summary
This lesson walks you through the complete five-step verification process you'll apply in the hands-on lab. Starting with claim inventory (extracting testable statements), you'll move through trust calibration (risk tagging), triangulation (source confirmation), product repair (fixing errors and aligning assessments to objectives), and audit documentation (proving due diligence). This sequential workflow transforms AI-generated content from "sounds good" to "defensibly accurate and safe to publish." You'll use this exact process on the AI-generated course draft in the lab, producing verified deliverables that meet compliance and quality standards.
Time to Complete
10 min
Job Aids
source-of-record pack
Learner Objectives
Identify and isolate specific, testable statements and factual claims from AI-generated content. Apply risk tagging to identified claims to prioritize which elements require the most intensive verification. Cross-reference AI-generated statements against authoritative sources of record to confirm accuracy.