Practice Ethics - 3.4 | AI Ethics, Bias, and Responsible AI | Artificial Intelligence Advance
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Ethics

3.4 - Ethics

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does the acronym FATE stand for?

💡 Hint: Think about the principles guiding AI development.

Question 2 Easy

What is data bias?

💡 Hint: Consider where data can come from.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the acronym FATE represent in AI ethics?

Fun
Accountability
Transparency
Ethics
Fairness
Accountability
Transparency
Ethics
Functional
Able
Transparent
Ethical

💡 Hint: Think about what ethical AI should embody.

Question 2

True or False: All AI systems are inherently unbiased.

True
False

💡 Hint: Consider the sources of bias in AI.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Analyze a real-world incident where biased AI decisions led to significant social issues. Discuss what went wrong and propose measures to prevent such biases in the future.

💡 Hint: Look into cases where societal trust in AI was damaged.

Challenge 2 Hard

Devise a framework for your organization to ensure fairness in AI. Include aspects such as data collection, algorithm transparency, and stakeholder involvement.

💡 Hint: Consider integrating community feedback into your AI processes.

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