AI-900 Question 45
Select 3A company is deploying an AI solution to assist with loan approvals. During the review process, the AI model begins to exhibit bias against certain demographic groups, leading to unfair loan denials. Which guiding principles for responsible AI should the company prioritize to address this issue?
- A
Fairness
- B
Reliability and Safety
- C
Inclusivity
- D
Transparency
- E
Accountability
Show answer and explanation
Correct answers: A, D, E
Explanation
To address the bias in the AI solution, the company should focus on principles of Fairness, Transparency, and Accountability. Fairness ensures equitable treatment across demographic groups, Transparency helps in identifying and addressing the root causes of bias, and Accountability ensures that appropriate actions are taken to mitigate harm and improve the system. While Reliability and Safety and Inclusivity are important principles, they do not directly address the specific challenge of bias in this case.
- A. Correct.
Fairness ensures that AI systems treat all individuals and groups equitably, which directly addresses the issue of bias in the loan approval process.
- B. Incorrect.
Reliability and Safety focus on ensuring that AI systems operate as intended and do not cause harm. While important, this principle does not directly address demographic bias in decision-making.
- C. Incorrect.
Inclusivity emphasizes designing AI systems that accommodate diverse perspectives. Although it is a related concept, it is not the primary principle addressing bias in this scenario.
- D. Correct.
Transparency involves providing clear explanations about how the AI system makes decisions. This is critical for identifying and addressing the root cause of the bias in the model.
- E. Correct.
Accountability ensures that there are mechanisms in place to hold systems and stakeholders responsible for the outcomes of AI models, which is essential for addressing and mitigating the bias in this scenario.