Advanced Synthesis
📋 What it is
An AI-literate thinker asks what data trained a system, what it’s good at, where it fails, and if it’s fair.
🗣️ Coach says
This is the whole AI-literacy mindset. For any AI system, ask: what data trained it? what is it actually good at? where does it fail or show bias? and is it being used fairly and safely? Being a smart USER and questioner of AI — not just a consumer — is the key 21st-century skill.
🧠 Memory hook
Ask of any AI: what data? good at what? where does it fail? is it fair? Be a smart user, not just a consumer.
😂 Giggle
I told a machine learning joke, but nobody got the pattern.
Must be an overfitting crowd!
😲 Whoa!
The people who benefit most from AI aren’t the ones who fear it or blindly trust it — they’re the ones who understand its strengths AND its limits.
✅ Quick check: What are good questions to ask about any AI system before trusting it?
Say your answer out loud first — then reveal.
What data trained it, what it’s good at, where it fails or is biased, and whether it’s used fairly.
Critical questioning is core AI literacy.
🧪 Try it! (2 minutes)
Pick one AI tool and answer the four questions: data? strengths? failures? fairness?