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.

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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

Видео People Still Trust AI… Even When It Fails канала Exploring ChatGPT