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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 AI?
💡 Hint: Think about data protection laws.
Question 2
Easy
What should be obtained before collecting data?
💡 Hint: Consider transparency in data usage.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
Why is privacy critical in AI projects?
💡 Hint: Think about data protection.
Question 2
True or False: Informed consent is unnecessary if data is anonymized.
💡 Hint: Consider the ethical aspects of consent.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
You are tasked with developing an AI system that predicts job candidates' success. What ethical considerations should you keep in mind, especially regarding bias?
💡 Hint: Think about the impact of biased predictions.
Question 2
During a data collection project for a healthcare application, you find that a demographic is underrepresented. What steps would you take to address this bias?
💡 Hint: Consider the importance of diverse perspectives.
Challenge and get performance evaluation