Practice Data Ethics in Decision-Making - 18.6.1 | 18. Data Science for Business and Decision- Making | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is one of the key ethical concerns in decision-making with data?

💡 Hint: Think about fairness in decisions.

Question 2

Easy

Why is transparency important in data practices?

💡 Hint: Consider why users might be concerned.

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 should organizations avoid in their data models?

  • Transparency
  • Bias
  • Accountability

💡 Hint: Consider what could lead to unfair results.

Question 2

True or False: Organizations should prioritize user consent when collecting data.

  • True
  • False

💡 Hint: Think about responsible data usage.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Evaluate the ethical implications of a hypothetical scenario where a company's model unfairly discriminates against a demographic. What steps could they take to rectify the situation?

💡 Hint: Consider how to identify and correct biases.

Question 2

Design a framework for a company that ensures ethical usage of data while meeting its business goals. What elements would you include?

💡 Hint: Think about what structures support ethical practices.

Challenge and get performance evaluation