AIF-C01 Question 163
Select 3A company is developing an AI-based hiring tool to screen candidates. During testing, it is discovered that the tool consistently favors male candidates over equally qualified female candidates for technical roles. Which features of responsible AI should be prioritized to address this issue?
- A
Bias
- B
Fairness
- C
Inclusivity
- D
Robustness
- E
Safety
- F
Veracity
Show answer and explanation
Correct answers: A, B, C
Explanation
To address the issue of favoring male candidates, the company must prioritize responsible AI features like bias mitigation, fairness, and inclusivity. These aspects ensure the AI system treats all candidates equitably, does not exhibit discrimination, and considers diverse user groups. While other features like robustness, safety, and veracity are important in general, they are not the primary focus in resolving this specific ethical challenge.
- A. Correct.
Bias refers to systematic favoritism or discrimination in AI models. Addressing bias is critical in this scenario to ensure that the tool does not favor one group over another.
- B. Correct.
Fairness ensures that the outcomes of the AI model are equitable and do not disproportionately benefit or harm a specific group, which is essential in this case.
- C. Correct.
Inclusivity focuses on ensuring that the AI system works well for diverse groups of users, which is important for a hiring tool to be effective and ethical.
- D. Incorrect.
Robustness relates to the reliability of the AI model in various scenarios, but it is not directly relevant to addressing the gender favoritism issue in this scenario.
- E. Incorrect.
Safety pertains to avoiding harm caused by the AI system, but it is not specifically tied to resolving issues of bias or fairness in hiring processes.
- F. Incorrect.
Veracity deals with the accuracy and truthfulness of the data and model outputs, which, while important, does not directly address the gender imbalance issue here.