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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define accountability in the context of AI. Why is it important?
π‘ Hint: Think about who is responsible when AI makes mistakes.
Question 2
Easy
What does transparency in AI involve?
π‘ Hint: How can transparency build trust in AI?
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 purpose of accountability in AI?
π‘ Hint: Think about why stakeholders need to feel secure about AI's use.
Question 2
True or False: Transparency makes AI's decision-making process completely understandable to everyone.
π‘ Hint: Consider the complexity of AI systems.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Consider a scenario where an AI system in a healthcare setting results in misdiagnosis due to biased data. Analyze the accountability involved and propose possible preventive measures.
π‘ Hint: Consider how each participant in the AI lifecycle contributes to accountability.
Question 2
An AI used for financial transactions exploits users' data resulting in privacy breaches. Evaluate the implications and suggest strategies to address this issue.
π‘ Hint: Think about how organizations can safeguard privacy while deploying AI.
Challenge and get performance evaluation