Guide

Fact Checking and Evaluation for Generative AI

Santa Clara University Library · libguides.scu.edu

A librarian-grade evaluation method (SIFT: Stop, Investigate, Find, Trace) applied to AI output.

Open on libguides.scu.edu ↗

The question it answers

  1. How much should I trust AI market research, and how do I verify it before betting on it?

Read with it

  1. The practical verification playbook: multiple models, multiple phrasings, trace to source. forbes.com Article 6 Proven Ways To Fact Check AI Accuracy And Verify Answers Forbes
  2. Explains why hallucinations happen so you can predict where your research is weakest. intuitionlabs.ai Article AI Hallucinations in Business: Causes and Prevention IntuitionLabs
  3. Current hallucination rates by model, exactly what you need to calibrate trust. suprmind.ai Article Which AI Hallucinates the Least? (Statistics & Research Report) Suprmind
  4. MIT's accessible primer on hallucination and bias, credible enough to share with your board. mitsloanedtech.mit.edu Guide When AI Gets It Wrong: Addressing AI Hallucinations and Bias MIT Sloan Teaching & Learning Technologies
  5. Research-specific failure modes, including citation fabrication patterns. inra.ai Article AI Hallucinations in Research: Causes, Risks & Prevention INRA.AI
  6. If Big Four consultancies ship hallucinated reports, your unverified deck can too. koreadeep.com Article AI Hallucinations Hit Deloitte, EY, and a Top Law Firm. Here's the Real Lesson. KoreaDeep
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