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A person typing on a laptop with digital icons showing checkmarks and a warning triangle, representing success and error in AI or automated systems.
When AI gives you confidence… then throws a red flag.

Can AI Be Biased or Make Mistakes?

AI can do amazing things — write stories, suggest playlists, even spot spelling mistakes faster than your teacher. But what happens when it gets things wrong? Can a robot be unfair? Can it mess up an answer? This quiz helps you explore what can go wrong with AI and why it’s important to think carefully about the tech we use.

Sometimes AI makes mistakes because the data it learned from isn’t perfect. Other times, it might give strange answers because it doesn’t really understand human feelings or context. That’s where people come in — to check, correct, and ask questions.

So if you’ve ever wondered whether AI is always right (spoiler: it’s not), this quiz is your chance to find out how to spot mistakes, challenge unfairness, and stay smart when using tech.

1 .
What’s one reason AI can make mistakes or seem unfair?
It doesn’t get enough screen time
It uses data that might be wrong or one-sided
It forgets to charge its batteries
It’s secretly trying to become class president
AI learns from data — and if that data is flawed, limited, or biased, the AI can end up making unfair or incorrect decisions based on what it’s learned.
2 .
What does it mean if an AI is “biased”?
It always takes the teacher’s side
It refuses to mark your homework nicely
It gives unfair results because of how it was trained
It only helps people with perfect spelling
AI bias means the system makes unfair decisions, often because the data it learned from wasn’t balanced. That can lead to results that favour some people over others.
3 .
Why should we be careful about trusting AI without checking?
It can make mistakes just like people do
It gets bored and starts guessing
It secretly wants to take over the internet
It only works properly on sunny days
Even though AI is powerful, it’s not perfect. It can make errors or give bad suggestions, especially if it doesn’t fully understand the situation — so it’s always worth double-checking.
4 .
How can bias end up in an AI system?
AI spends too much time online
It copies answers from the student next to it
It gets confused by long words
It learns from biased or unfair training data
If the information AI is trained on is one-sided or unfair, the AI will pick up those same patterns. That’s how bias can sneak into even the smartest systems.
5 .
If AI gives a strange or unfair result, what should you do?
Blame your Wi-Fi and walk away
Accept it without question — it’s a robot after all
Question it and look for a second opinion
Write a strongly worded letter to your toaster
Just because AI gives an answer doesn’t mean it’s right. If something seems off or unfair, it’s okay to question it, investigate further, or ask a human.
6 .
Why might AI give better results for some people than others?
It’s trying to win a popularity contest
It was trained on data that didn’t include everyone equally
It likes people who use emojis
It gets distracted by typos
If the data used to train AI mostly came from certain groups of people, it may not work as well for others. This can lead to unfair or uneven results.
7 .
Can AI be completely fair and neutral on its own?
No — it needs careful human input and checks
Yes — it's basically a robot version of a judge
Only if you feed it chocolate first
Yes, but only during leap years
AI doesn’t automatically know what’s fair. People need to carefully design, test, and review how it works to make sure it doesn’t treat anyone unfairly.
8 .
What could help AI make fewer mistakes in the future?
Giving it a pep talk before it starts
Making it wear glasses for better focus
Letting it read only science fiction books
Training it with better, more balanced data
The quality of AI depends on the data it learns from. The more accurate, fair, and balanced that data is, the better the AI's decisions will be.
9 .
Why is it important to have humans involved in AI decisions?
Humans make better snack choices
AI doesn’t like working on weekends
People can spot unfairness that AI might miss
AI gets nervous during presentations
Humans can think about feelings, fairness, and context — things AI often misses. That’s why human judgement is still important, especially when decisions affect real people.
10 .
What’s the best attitude to have when using AI tools?
Use them wisely, but always think for yourself
Let them make all your choices forever
Ask them for life advice during lunch
Trust them more than your teacher
AI tools can be super helpful, but they’re not perfect. It’s important to use your own judgement, check facts, and think critically about what the AI suggests.
Author:  Tara Kemp

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