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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does transparency in AI refer to?
💡 Hint: Think about how decisions are communicated to the end user.
Question 2
Easy
Why is accountability important in AI?
💡 Hint: Consider the impacts if something goes wrong with an AI decision.
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 the primary concern during the deployment of an AI system?
💡 Hint: Consider what users need to feel secure in using AI.
Question 2
True or False? Accountability in AI means someone must explain the AI's decisions.
💡 Hint: Think about responsibilities in technology.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Devise an ethical framework for deploying AI in healthcare. Identify challenges and suggest solutions for maintaining transparency and accountability.
💡 Hint: Think about the sensitive nature of health data.
Question 2
Examine a recent case where AI deployment faced criticism. Analyze how transparency and accountability could have mitigated the issues.
💡 Hint: Search for current events related to AI ethics.
Challenge and get performance evaluation