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AI Research & Fact-Checking Without Getting Fooled

Deep research modes, fabricated and misrepresented citations, a ten-minute verification routine, and judging sources on an AI-written web.

AI research output is dangerous precisely because it is well written. Fluent prose with citation-shaped references reads like diligence, and people have been professionally sanctioned for trusting it. This course makes you the person who uses these tools at speed and can still be relied on. You will learn the four failure patterns (fabrication, misrepresentation, confident staleness, laundered consensus), what search-grounded and deep research modes do and do not fix, the prompt instructions that make output checkable, a triage-based verification routine that fits in ten minutes, and how to rank sources on a web increasingly written by AI. Accountability never transfers to the tool.

What you'll learn

Course content

  1. 1. Why AI research feels right and is often wrong (15 min)
  2. 2. Search-grounded modes and their limits (15 min)
  3. 3. Prompting for verifiable research (15 min)
  4. 4. A verification routine that fits in ten minutes (15 min)
  5. 5. Judging sources in an AI-saturated web (15 min)
  6. 6. Using AI research honestly and defensibly (15 min)

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