Can AI Be Biased? A Practical Guide to Checking AI Answers
Can ai be biased? Learn how bias enters AI answers, how to check evidence, and how to document errors so you can use AI more carefully and confidently.
Error Patterns
Discussion of recurring failure modes such as false certainty, citation invention, omission, outdated knowledge, instruction drift, and misleading framing.
AI Bias Examples: How to Spot, Check, and Document Unfair AI Answers
Explore ai bias examples, from skewed training data to unequal automated decisions, and learn practical ways to check AI claims before trusting them.
A Polished Citation Is More Dangerous Than an Obviously Strange Answer
A weird answer makes me check. A polished answer makes me trust. That's backwards. Here's why I think a perfect-looking citation is the most dangerous kind of AI output.
Does "Are You Sure?" Make AI More Confidently Wrong?
I tested what happens when I ask an AI to double-check itself. Sometimes it corrected a wrong answer. Sometimes it doubled down. Here's what I found.
Should Verification Begin Before the First Prompt?
Most AI fact-checking advice starts after the answer arrives. I think that's too late. Here's why verification should begin before you type the first prompt.