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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data leakage?
💡 Hint: Think about how information can be shared unintentionally.
Question 2
Easy
Describe a scenario where generative AI could accidentally leak private information.
💡 Hint: Consider what types of private communication could be found in training data.
Practice 1 more question and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What can happen if AI is trained on private data without proper safeguards?
💡 Hint: Think about the implications of data exposure.
Question 2
True or False: GDPR ensures that companies can freely share personal data.
💡 Hint: What does GDPR protect?
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Analyze a hypothetical situation where an AI model inadvertently reveals client information when generating outputs. Discuss the ethical implications and potential solutions.
💡 Hint: Consider what could happen if clients' data becomes public.
Question 2
Debate the effectiveness of GDPR in safeguarding personal data in the context of an AI's usage. Are there gaps that need addressing?
💡 Hint: Reflect on any recent news about data breaches in AI systems.
Challenge and get performance evaluation