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A financial institution is developing an AI assistant using Azure OpenAI Service that provides personalized investment advice. The assistant must strictly adhere to regulatory compliance standards and avoid making speculative or legally binding statements. Which responsible AI guideline for generative AI is most relevant to this scenario?
- AFairness and non-discrimination.
- BData privacy and security.
- CSafety and reliability.
- DAccountability and transparency.
Show answer & explanationAnswer & explanation
Correct answer: C. Safety and reliability.
Ensuring the AI assistant avoids speculative or legally binding statements and adheres to regulatory standards directly falls under the guideline of Safety and Reliability. This involves preventing harmful, inaccurate, or inappropriate content generation, especially in high-stakes domains like finance.
Why the other options are wrong
- A. Fairness is about bias in treatment across groups, which is a separate concern from the accuracy and appropriateness of financial advice.
- B. Data privacy is crucial for PII, but avoiding speculative advice relates to the nature of the advice itself, not just data handling.
- D. Accountability and transparency relate to understanding how the AI works and who is responsible, but Safety and Reliability is about the quality and risk of the output itself.
Responsible AI: Safety & Reliability
Ensuring AI systems perform as intended, are robust against manipulation, and do not cause unintended harm or generate unsafe content.
- Crucial for high-stakes applications (e.g., finance, healthcare).
- Involves preventing inaccurate, biased, or harmful outputs.
- Includes robustness, security, and controlled content generation.
Memory trick: FFSAAT: For Future Safe AI, Always Act Transparently.