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Human-in-the-Loop: The Only Safe Way to Use AI in Critical Tasks
Human-in-the-loop is not optional in critical AI use. This article explains why human oversight is essential, where it must exist, and how to design safe AI workflows for high-stakes tasks.
Where AI Should Not Be Used: High-Stakes Decisions Explained
AI can assist thinking — but it should not be used for high-stakes decisions. This article explains where AI should not be used, how to identify high-risk contexts, and why responsibility must remain human.
Using AI at Work Without Violating Privacy or NDAs
Using AI at work can easily cross privacy or NDA boundaries. This guide explains how to use AI safely in professional environments without exposing confidential data or violating agreements.
What Data You Should Never Share With AI Tools
AI tools feel harmless — until sensitive data is shared. This guide explains what data you should never share with AI tools, why it’s risky, and how to protect privacy in real work.
How to Detect AI Hallucinations Before They Cost You
Learn how to detect AI hallucinations early — before they cause real damage. Practical warning signs, checklists, and verification steps for real work.
Why AI Hallucinates: Causes, Patterns, and Warning Signs
AI hallucinations are a structural behavior, not a bug. This article explains why AI hallucinates, common patterns behind it, and warning signs that indicate unreliable outputs.