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Amazon used a system for recruitment, created a situation in which many eligible females were left out of the consideration. This is called _________.

  • a)
    Misinterpretation of Data

  • b)
    Gender Bias

  • c)
    Problem of Inclusion

  • d)
    Data Privacy

Correct answer is option 'B'. Can you explain this answer?
Verified Answer
Amazon used a system for recruitment, created a situation in which man...
The correct answer is:



- B: Gender Bias



Explanation:

- Gender bias refers to the unfair treatment of individuals based on their gender. In this scenario, Amazon's recruitment system inadvertently discriminated against females, leading to their exclusion from consideration.

- This bias can result from various factors within the recruitment process, such as the design of algorithms, job descriptions, or interview processes that unintentionally favor one gender over another.

- It is crucial for organizations to address and mitigate gender bias to ensure fair opportunities for all candidates.
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Most Upvoted Answer
Amazon used a system for recruitment, created a situation in which man...
**Problem of Inclusion**

The correct answer is option B, the problem of inclusion.

**Explanation:**

The situation described in the question is an example of the problem of inclusion. Let's break down the different options and why they are not the correct answer:

- **Misinterpretation of Data**: While it is possible that the recruitment system may have misinterpreted the data, this option does not accurately describe the situation. Misinterpretation of data refers to the incorrect understanding or analysis of data, which may lead to flawed conclusions or decisions. In this case, it is not about misinterpreting the data, but rather about a flaw in the recruitment system itself.

- **Gender Bias**: This is the correct answer. Gender bias refers to the unequal treatment or opportunities based on a person's gender. In this case, the recruitment system created a situation in which many eligible females were left out of consideration. This suggests that the system may have been biased against women, intentionally or unintentionally.

- **Data Privacy**: Data privacy refers to the protection and proper handling of personal data. While data privacy is an important consideration in any system, it does not accurately describe the situation described in the question. The issue here is not about data privacy, but rather about the recruitment system itself and its impact on eligible female candidates.

Therefore, the correct answer is option B, the problem of inclusion. The situation described in the question highlights a flaw in the recruitment system that led to the exclusion of many eligible females from consideration. This problem of inclusion occurs when certain individuals or groups are not given equal opportunities or access to resources, in this case, job opportunities. It is important to address and rectify such problems to ensure fairness and equal opportunities for all.
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