Focus: Using AI to critically assess outputs, check reasoning, and strengthen trust in findings.Description:
This session would focus on using AI as a tool for review rather than solely for generation. Participants would practice checking results for plausibility, identifying possible errors or overclaims, and building habits for validation and reproducibility. This is especially important for avoiding misplaced confidence in AI-assisted work.Possible hands-on activities:
Ask AI to critique an interpretation of findingsCross-check whether a result matches the stated method or assumptionsGenerate a validation checklist for an analysis workflowIdentify possible sources of bias, confounding, or errorReview examples of flawed outputs and discuss how to catch them