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A financial institution is deploying an Azure OpenAI-powered assistant to help customers with investment advice. Due to regulatory compliance and ethical concerns, it is crucial to ensure that the AI does not provide biased or misleading financial recommendations. Which aspect of responsible AI is most directly addressed by mitigating these risks?
- ATransparency
- BReliability and safety
- CPrivacy and security
- DFairness
Show answer & explanationAnswer & explanation
Correct answer: D. Fairness
Mitigating biased or misleading recommendations directly falls under the Responsible AI principle of Fairness. This principle ensures that AI systems treat all individuals and groups equitably, avoiding unfair outcomes or discrimination, which is critical in financial advice.
Why the other options are wrong
- A. Transparency involves understanding how the AI works, but fairness is about the equitable outcome of its decisions.
- B. Reliability and safety focus on the system performing as intended without harm, but fairness specifically targets equitable treatment.
- C. Privacy and security relate to data protection, not the inherent bias or misleading nature of the advice itself.
Responsible AI: Fairness
The principle of Responsible AI that dictates AI systems should treat all individuals and groups equitably, without causing or reinforcing unfair bias or discrimination.
- Aims to prevent disparate impacts on different demographic groups.
- Requires careful evaluation of training data for biases.
- Crucial in sensitive domains like finance, healthcare, and hiring.
Memory trick: Fairness is about giving everyone a 'Fair Shot' with AI, especially in finance.