The problem isn’t what AI knows. It’s what you think it knows.
Hallucinated facts. Unverifiable data. And no warning labels. When GenAI hides how it creates content, you’re the one holding the risk.
If you’re using GenAI to write, research, summarize, analyze, or draft policy — this toolkit is for you.
Because transparency isn’t optional.
It’s the line between using GenAI responsibly — or accidentally misleading your team, your clients, or the public.
This week, we’re giving you 5 red flags that signal a transparency gap — and the precise prompts to uncover them before they cost you.
What Is the Transparency Principle?
Transparency means openness about how an AI system is designed, trained, and operates.
It refers to your ability to assess the Gen AI tool’s logic, limitations, and data sources — so you can judge whether to trust its outputs.
Think of it like nutrition labels for AI.
You don’t need to understand the molecular chemistry of what you eat.
But you should know what’s inside your meal before consuming or serving it to others.
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