Why AI Makes Mistakes—and How to Predict Them

Why AI Makes Mistakes and Hallucinates – AI Errors Explained for Everyday Users Unique breakdown of AI failure modes, AI hallucinations, and AI reliability for beginners Understand how and why AI goes wrong so you can predict errors, stay safer, and use AI more effectively

What You'll Learn:

• Why AI systems predict patterns instead of truth, and how that leads to predictable mistakes
• The most common AI failure modes and what they look like in real-world tools you already use
• How AI hallucinations happen, why they sound confident, and simple checks to catch them early
• Practical ways to spot when an AI is operating outside its training distribution (and why that’s risky)
• How vague, adversarial, or leading prompts can nudge AI into unreliable or unsafe behavior
• A simple mental checklist to decide when to trust AI, when to verify, and when to avoid automation
• How to apply this understanding to your own work or life so you get value from AI without being misled
• A 3-step action plan to capture key insights, personalize them to your situation, and take one small step this week