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

18.6.1 - Data Ethics in Decision-Making

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Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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