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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does privacy mean in the context of data collection?
💡 Hint: Think about laws that safeguard user information.
Question 2
Easy
Define consent in data collection.
💡 Hint: Consider the importance of transparency.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is one of the main consequences of not securing data properly?
💡 Hint: Think about the effects of data exposure.
Question 2
True or False: Obtaining consent is not necessary if data is anonymized.
💡 Hint: Consider the nature of data ethics.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Propose a framework that incorporates ethical considerations in an AI input collection process. Outline steps that ensure privacy, consent, bias mitigation, and security.
💡 Hint: Consider the role of each ethical aspect in preserving user rights.
Question 2
Reflect on a case study where bias in AI algorithms resulted in negative outcomes. Analyze its implications on society and propose how it could have been avoided.
💡 Hint: Research recent cases in the news for factual examples.
Challenge and get performance evaluation