AI Basics
What does AI stand for?
Artificial Intelligence
Can AI be wrong?
Yes
What does bias mean?
Being unfair or favoring one group
What is training data?
Information AI learns from
What does ethical AI use mean?
Using AI responsibly and honestly
AI systems primarily learn from what?
Data (Training Data)
What is an AI hallucination?
AI gives incorrect information that sounds great.
Where does AI bias usually originate?
Human-created bias
How does AI learn patterns?
By analyzing large amounts of data
Is using AI to check grammar ethical?
Yes (if works is your own)
What is Narrow AI designed to do?
Perform one specific task
Why should humans verify AI responses?
AI can be wrong.
How can biased data affect AI results?
Produces unfair or inaccurate outcomes
Why does data quality matter?
Good data = better predictions
Is copying AI work ethical?
No
Does AI think like humans?
No - it predicts patterns
Why can AI sound confident but be incorrect?
It predicts without understanding truth.
Give one example of AI bias.
Facial recognition errors/hiring bias/recommendations
What happens with bad training data?
Poor or incorrect results
Why does fairness matter in AI?
•Why does fairness matter in AI?
Why is AI considered a tool?
Humans control and verify it
What is the danger of trusting AI blindly?
You may accept false information.
Is bias an AI problem or human problem? Explain.
Human problem - AI learns from human data
Who is responsible for AI training?
Humans
Who is responsible for ethical AI behavior?
Humans