Even the smartest tools get things wrong sometimes.
Mia wanted to bake her grandmother's favorite cookies. She typed the recipe into an AI helper and asked: "How many cups of sugar do I need?"
The AI answered instantly: "You need three tablespoons of sugar." But Mia's grandmother always used one cup. The cookies came out flat and barely sweet.
Later, Mia realized the AI had mixed up tablespoons and cups. It sounded completely sure of itself — but it was wrong. It didn't know it had made a mistake.
AI is a tool — like a calculator or a map app. Tools are helpful, but they can give wrong answers. AI gives answers based on patterns it learned, and those patterns are not always right.
Trusting AI is about balance. Here is a simple rule: the more important the decision, the more you should double-check.
AI can be really useful, but you still have to think for yourself. Always ask: "Does this answer make sense to me?"
3 questions — free, untracked, retake anytime.
Mia asked the AI for a recipe measurement, what did the AI actually do wrong?
of these is the best example of when you should double-check an AI answer?
makes mistakes because:
Talk with an AI guide about when you'd trust an AI answer — and when you wouldn't.
Your AI guide will ask you about times when you might trust an AI — and times when you shouldn't. Answer in your own words.
Sometimes AI makes up an answer — and sounds very confident.
Tomas was doing a school project. He asked an AI: "Can you name a book about ocean animals by Dr. Sarah Bloom?"
The AI replied: "Sure! Dr. Sarah Bloom wrote The Deep Blue Encyclopedia in 2018. It has wonderful chapters on dolphins and deep-sea fish."
Tomas was excited — until he searched the library. The book didn't exist. Neither did Dr. Sarah Bloom. The AI had invented the whole thing.
When AI confidently invents something that isn't real, it's called a hallucination. The AI doesn't know it's wrong — it just produces the next likely-sounding word.
When AI gives you a specific fact — like a book title, a person's name, or a date — always check it somewhere else before trusting it.
3 questions — free, untracked, retake anytime.
happened when Tomas used the AI for his school project?
is an AI "hallucination"?
the best thing to do if AI gives you a specific fact, like a book title or a name?
Talk with your AI guide about what happened to Tomas and what you would do.
Your AI guide will ask you about Tomas's story and what you'd do if AI gave you a made-up fact.
When AI gets something wrong, who is responsible?
The Reyes family used a navigation app on a road trip. The app told them to turn onto a mountain road. What the app didn't know: that road had been closed for months after a landslide.
The family ended up stuck for two hours. Afterward, they wondered: whose fault was it? The app? The company that made it? Or themselves for following it without checking?
When AI causes a problem, responsibility can be shared:
AI tools can make mistakes. The people who build them and the people who use them both have a responsibility to think carefully.
3 questions — free, untracked, retake anytime.
the Reyes family story, who might share responsibility for what happened?
an AI tool be "blamed" for making a mistake the way a person can?
is it important to understand who is responsible when AI makes a mistake?
Share your thoughts about the Reyes family story with your AI guide.
Your AI guide will ask you who you think is most responsible when AI makes a mistake.
What happens when the information AI learned from has a blind spot?
Amara noticed something odd: whenever she typed her name on her phone, autocorrect kept trying to change it. But her friend Emily's name never got changed.
Her older sister explained: "The autocorrect learned from a lot of writing. If most of that writing used certain kinds of names, it learned to expect those names and treats others as 'wrong.'"
"So it's not being mean," Amara said slowly. "It just doesn't know names like mine because of what it was taught?"
"Exactly," her sister said. "Bias in, bias out."
AI learns from information that humans created. If that information shows some groups differently than others, AI will learn and repeat those patterns.
The information AI learns from matters a lot. When that information leaves people out, the AI will too.
3 questions — free, untracked, retake anytime.
did Amara's autocorrect keep trying to change her name?
does "bias in, bias out" mean?
is responsible for making sure AI learns from fair, complete information?
Talk through Amara's story with your AI guide.
Your AI guide will ask you to think about Amara's experience and where you might have noticed AI treating things differently.
5 questions covering all 4 lessons. Free, untracked, retake anytime.
AI gave her the wrong measurement. What does this show?
AI invented a book that didn't exist. This is called:
AI gives you a specific fact like a name or date, what should you do?
the Reyes family got stuck, responsibility belonged to:
autocorrect kept changing her name because: