1. Which of the following statements accurately describe fairness considerations in data analysis? Select all that apply.

A. Best practices for fairness in data analysis include identifying surrounding factors.
B. Fairness practices should begin during the analysis phase of the data analysis process.
C. Effective data analysts help create systems that are fair and inclusive to everyone.
D. A data professional may include self-reported data when prioritizing fairness.

Question

24-06-2024
Social Studies

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1. Which of the following statements accurately describe fairness considerations in data analysis? Select all that apply.

A. Best practices for fairness in data analysis include identifying surrounding factors.
B. Fairness practices should begin during the analysis phase of the data analysis process.
C. Effective data analysts help create systems that are fair and inclusive to everyone.
D. A data professional may include self-reported data when prioritizing fairness.

Sagot :

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GinnyAnswer GinnyAnswer · Answer 1 · 2024-06-24T07:09:05-04:00

Final answer:

Fairness considerations in data analysis are essential for ethical and unbiased results.

Explanation:

Fairness considerations in data analysis are crucial to ensure ethical and unbiased results. Best practices include identifying surrounding factors that may impact fairness, with fairness practices ideally starting during the analyze phase. Effective data analysts aim to create systems that are fair and inclusive to everyone by prioritizing fairness in their decision-making processes.

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