AIF-C01 Question 228
Select 3Your organization is deploying a generative AI model for customer service, and you are tasked with ensuring compliance with security and transparency standards. The Generative AI Security Scoping Matrix has been recommended for use. Which of the following actions should you prioritize to align with transparency and team training requirements?
- A
Document the model's training data sources and ensure they are accessible for audit purposes.
- B
Conduct mandatory training for the development team on bias detection and mitigation techniques.
- C
Enable encryption for all API communications between the generative AI model and the client applications.
- D
Define a clear policy for notifying users about the use of AI in the responses they receive.
- E
Automate model updates without requiring team involvement to improve efficiency.
Show answer and explanation
Correct answers: A, B, D
Explanation
The Generative AI Security Scoping Matrix emphasizes key principles such as transparency and team training. Actions like documenting training data sources, training teams on bias detection, and notifying users about AI usage directly align with these principles. While encryption and automation are important, they do not address the specific requirements of transparency and team training.
- A. Correct.
Documenting the model's training data sources is crucial for transparency, as it ensures stakeholders can verify the data used to create the model and assess potential biases or limitations.
- B. Correct.
Training the development team on bias detection and mitigation is essential to ensure they are equipped to address ethical and security concerns in generative AI systems.
- C. Incorrect.
While enabling encryption is a good security measure, it is not directly related to transparency or team training requirements, which are the focus of this question.
- D. Correct.
Defining a policy to notify users about AI usage supports transparency by ensuring users are aware that they are interacting with a generative AI system.
- E. Incorrect.
Automating model updates without team involvement could compromise ethical oversight and transparency, as it reduces the ability to review updates for compliance and security.