AIF-C01 Question 230
Select 3Your organization is planning to implement a generative AI model for customer service automation. To ensure compliance with the Generative AI Security Scoping Matrix, which of the following actions should your team prioritize during the initial stages of the project?
- A
Establish transparency standards for how the AI model generates responses and communicates limitations to users.
- B
Provide training to the AI development team on secure coding practices and potential biases in generative AI models.
- C
Generate synthetic data for the AI model without evaluating its compliance with organizational data privacy policies.
- D
Implement a system for monitoring and logging all interactions for auditing and troubleshooting purposes.
- E
Skip team training on AI ethics and focus solely on deploying the model to production quickly.
Show answer and explanation
Correct answers: A, B, D
Explanation
To align with the Generative AI Security Scoping Matrix and ensure a secure and transparent implementation, priorities should include establishing transparency standards, training teams on security and ethical considerations, and implementing monitoring systems. These actions provide a foundation for responsible AI development, while neglecting data privacy compliance or ethical training could lead to significant risks.
- A. Correct.
Establishing transparency standards is critical to ensure users understand how the AI functions, its limitations, and any potential risks associated with its use. This aligns with the Generative AI Security Scoping Matrix's focus on transparency.
- B. Correct.
Training the team on secure coding practices and addressing potential biases helps build a robust and ethical AI system, which is a key component of compliance with generative AI security guidelines.
- C. Incorrect.
Although synthetic data can be useful, generating it without ensuring compliance with privacy policies could introduce legal or ethical risks, making this an unsuitable action.
- D. Correct.
Monitoring and logging interactions are essential for tracking AI behavior, ensuring accountability, and troubleshooting issues. This aligns with security and transparency requirements.
- E. Incorrect.
Skipping team training on AI ethics overlooks the importance of ethical considerations, which is a fundamental part of responsible AI development and deployment.