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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the acronym FATE stand for?
💡 Hint: Think about the principles we discussed related to AI.
Question 2
Easy
Name one example of bias in data.
💡 Hint: Consider what happens if we don't include diverse datasets.
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 does FATE stand for in AI ethics?
💡 Hint: Recall what we covered regarding ethical AI principles.
Question 2
True or False: AI can be deployed without any ethical consideration.
💡 Hint: Think about what can happen if ethics are ignored in AI.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Critique a real-world AI deployment that faced backlash due to bias and propose how FATE principles could have mitigated the issue.
💡 Hint: Consider an event and analyze it through the lens of fairness and accountability.
Question 2
Design a hypothetical AI system that incorporates each aspect of the FATE principles, detailing features that address bias.
💡 Hint: Think of practical ways these principles can be integrated into AI design.
Challenge and get performance evaluation