Practice Data Ethics In Decision-making (18.6.1) - Data Science for Business and Decision- Making

Practice: Data Ethics in Decision-Making

Lesson 18.6.1Data Science for Business and Decision- Making

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9 questions

Flashcard drill
3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is one of the key ethical concerns in decision-making with data?
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Think about fairness in decisions.
Question 2.
Why is transparency important in data practices?
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Consider why users might be concerned.
3Question 3.
What should organizations avoid in their data models?
- Transparency
- Bias
- Accountability
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Consider what could lead to unfair results.
4Question 4.
True or False: Organizations should prioritize user consent when collecting data.
- True
- False
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Think about responsible data usage.
Question 5.
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?
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Consider how to identify and correct biases.
Question 6.
Design a framework for a company that ensures ethical usage of data while meeting its business goals. What elements would you include?
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Think about what structures support ethical practices.

5 more questions in this section. Enroll free to practise them all.