Practice Privacy, Consent, And Security (6) - AI Ethics, Bias, and Responsible AI

Practice: Privacy, Consent, and Security

Lesson 6AI Ethics, Bias, and Responsible AI

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10 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does differential privacy help protect?
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Think of how it makes data muddy.
Question 2.
Explain what federated learning does.
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Remember, data doesn’t leave the device.
3Question 3.
What is differential privacy?
- A method to analyze data
- A technique to protect individual identities
- An algorithm for AI training
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Think about how data is processed to protect individual information.
4Question 4.
True or False: Federated learning centralizes data for improved AI training.
- True
- False
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Recall the definition of federated learning.
Question 5.
Evaluate the implications of not having robust security measures in an AI system used for financial analysis. Discuss potential risks.
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Consider the critical nature of financial data and its protection.
Question 6.
Design an informed consent form for a mobile app using user data for personalization. What key elements must be included?
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Remember to focus on transparency and user control over their data.

6 more questions in this section. Enroll free to practise them all.