Practice Data Privacy And Security (12.4) - Ethics and Bias in AI - AI Course Fundamental

Practice: Data Privacy and Security

Lesson 12.4Ethics and Bias in AI

Practise this section

10 questions

Flashcard drill
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 is data anonymization?
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Think about how we can hide personal identities in datasets.
Question 2.
Name one regulation that governs data privacy.
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It starts with G and has to do with the EU.
3Question 3.
What does GDPR stand for?
- General Data Protection Regulation
- General Digital Privacy Regulation
- Global Data Protection Rules
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The name includes 'Data Protection' and is important in Europe.
4Question 4.
True or False: Anonymization completely removes the possibility of identifying individuals.
- True
- False
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Think about methods that could potentially reveal identities.
Question 5.
Given a scenario where a healthcare AI application has been hacked and patient data was exposed, outline immediate steps the company should take to address the breach.
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Think about communication, assessment, and security.
Question 6.
Consider a company that collects more data than necessary for its AI application. Analyze the long-term effects of this practice.
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Reflect on benefits vs the risks of excessive data collection.

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