Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does the acronym FATE stand for?

πŸ’‘ Hint: Think about the principles we discussed related to AI.

Question 2

Easy

Name one example of bias in data.

πŸ’‘ Hint: Consider what happens if we don't include diverse datasets.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does FATE stand for in AI ethics?

  • Fairness
  • Accountability
  • Transparency
  • Ethics
  • Freedom
  • Accuracy
  • Transparency
  • Ethics
  • Fairness
  • Accountability
  • Transparency
  • Efficiency

πŸ’‘ Hint: Recall what we covered regarding ethical AI principles.

Question 2

True or False: AI can be deployed without any ethical consideration.

  • True
  • False

πŸ’‘ Hint: Think about what can happen if ethics are ignored in AI.

Solve 2 more questions and get performance evaluation

Challenge Problems

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.

πŸ’‘ 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.

πŸ’‘ Hint: Think of practical ways these principles can be integrated into AI design.

Challenge and get performance evaluation