People Still Trust AI… Even When It Fails

Why do people keep trusting AI even after catching it making mistakes? In this conversation we explore AI trust, cognitive bias, and how to properly verify AI outputs. 📰 Substack: https://exploringchatgpt.substack.com 🏆 Guest: https://open.substack.com/pub/andreachiarelli?r=1yyjod&utm_medium=ios Let’s work together! Brand, sponsorship & business inquiries: exploringchatgpt@gmail.com 00:00 Cold Open – Why We Trust AI Even When It’s Wrong 00:40 Introduction: The Problem of Trusting AI 02:05 Domain-Specific Skepticism Explained 04:10 Understanding vs Evaluating AI Outputs 07:05 The AI Output Validation Funnel 10:15 Using Multiple Models to Verify AI Answers 13:10 The Problem With AI Citations and Hallucinations 17:40 Logic Checks Anyone Can Use With AI 21:20 How AI Is Used in Consulting Work 25:20 AI vs Human Responsibility in Professional Decisions 29:15 AI, Contracts, and Real-World Legal Examples 34:20 When AI Helps Catch Human Mistakes 39:10 Are Entry-Level Jobs Being Replaced by AI? 44:30 Why Human Expertise Still Matters 48:10 AI as a Tool vs Something More Personal 53:10 Final Thoughts on Trusting AI