Overreliance on AI-generated outputs leads to poor decisions and missed errors. This course teaches how to verify information, question assumptions, and maintain human oversight when working with AI systems.
Objectives:
- Question AI-generated information rather than accepting outputs as accurate
- Identify bias, missing context, and errors in AI summaries and recommendations
- Cross-check AI data against reliable sources before making decisions
- Balance human intuition with evidence when evaluating AI-assisted conclusions
- Maintain oversight and accountability instead of automating judgment completely
