Trust but Verify: An Introduction to Using AI in Data Analysis Work
Free Seminar Live Online
AI tools confidently produce wrong answers about your data — fake citations, plausible-but-incorrect statistics, and conclusions that fall apart under scrutiny. In this free 60-minute webinar, you'll watch a live AI hallucination demo and learn a 7-step verification checklist that catches these errors before they reach a leader's inbox. You'll also try a short Spot-the-Flaw exercise to practice critiquing a flawed AI analysis on the spot.
Key Takeaways
- See a live demo of how AI fabricates citations and invents numbers
- Get a 7-step verification checklist organized into 3 memorable clusters
- Learn to spot subtle errors like Simpson's Paradox and over-interpreted patterns
- Build the confidence to evaluate any AI-generated analysis with evidence
What You’ll Learn
- Recognize three patterns of AI hallucination: fabricated citations, wrong numbers, and false confidence
- Apply a 7-step verification checklist to any AI-generated analysis
- Identify subtle errors like Simpson's Paradox and over-interpreted weak patterns
- Critique an AI-generated analysis against a structured checklist
