Recall & Review
beginner
What is ethics in AI?
Ethics in AI means making sure AI systems behave in a way that is fair, safe, and respects people's rights. It is about doing the right thing when creating and using AI.
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beginner
Define bias in AI.
Bias in AI happens when an AI system treats some people unfairly because of wrong or incomplete data or design. It can cause unfair results for certain groups.
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intermediate
Why can AI systems become biased?
AI systems can become biased because they learn from data that may have mistakes, stereotypes, or missing information. Also, the way people design AI can add bias.
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beginner
Give an example of ethical concern in AI.
An example is when AI decides who gets a loan. If the AI unfairly denies loans to certain groups, it raises ethical concerns about fairness and discrimination.
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intermediate
How can we reduce bias in AI?
We can reduce bias by using diverse and complete data, testing AI for fairness, involving different people in design, and being open about how AI works.
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What does bias in AI usually come from?
✗ Incorrect
Bias in AI mostly comes from faulty or incomplete data that the AI learns from.
Which is an ethical issue in AI?
✗ Incorrect
Making unfair decisions about people is an ethical issue in AI.
How can AI bias affect people?
✗ Incorrect
AI bias can give unfair advantages or disadvantages to certain groups of people.
Which action helps reduce AI bias?
✗ Incorrect
Using diverse data sets helps reduce bias in AI systems.
Ethics in AI means:
✗ Incorrect
Ethics in AI means making AI systems fair, safe, and respectful of people.
Explain what bias in AI is and why it happens.
Think about how AI learns from data and how that can cause unfair results.
You got /3 concepts.
Describe some ways to make AI ethical and reduce bias.
Consider steps to make AI fair and trustworthy.
You got /4 concepts.