Practice Ethical AI Development - 34.5.2 | 34. Ethical Considerations in the Use of Automation | Robotics and Automation - Vol 3
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34.5.2 - Ethical AI Development

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is one way to ensure fairness in AI development?

💡 Hint: Think about the data used for training the AI.

Question 2

Easy

Why is transparency important in AI systems?

💡 Hint: Consider user interactions with AI decisions.

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 is a key method for ensuring fairness in AI development?

  • Using homogenous datasets
  • Using diverse datasets
  • Ignoring bias

💡 Hint: Consider the importance of representation in training data.

Question 2

True or False: Transparency in AI means keeping the algorithms secret.

  • True
  • False

💡 Hint: Think about trust in technology.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Analyze an AI application used in hiring processes. Identify any biases present in the system and suggest methods for improvement.

💡 Hint: Consider real-world news about AI hiring issues.

Question 2

Evaluate how transparency can affect a company's reputation when using an AI system. Discuss real-world implications.

💡 Hint: Think of recent controversies related to AI.

Challenge and get performance evaluation