AI-900 Question 264
Select 4You are designing a generative AI model for creating marketing content. Which of the following responsible AI considerations should you prioritize to ensure ethical and fair usage of the model?
- A
Ensure the model does not generate harmful or offensive content.
- B
Verify that users of the model are trained in data science and machine learning.
- C
Implement transparency by providing users with information about how the model generates outputs.
- D
Audit the training data to identify and mitigate potential biases.
- E
Restrict usage of the model to prevent misuse, such as generating misleading or false information.
Show answer and explanation
Correct answers: A, C, D, E
Explanation
Responsible AI considerations for generative AI include preventing harmful outputs, ensuring transparency, mitigating biases in training data, and addressing misuse. These measures help ensure that generative AI models operate ethically and align with societal expectations. Training users in data science, while useful, is not a direct responsible AI measure for generative AI systems.
- A. Correct.
Ensuring the model does not generate harmful or offensive content is a key responsible AI consideration to prevent harm and maintain ethical standards.
- B. Incorrect.
While training end-users in data science may be beneficial, it is not a primary responsible AI consideration for generative AI models. The focus is on ensuring the model itself behaves responsibly and ethically.
- C. Correct.
Providing transparency about how the model works builds trust with users and aligns with responsible AI principles.
- D. Correct.
Auditing training data for biases is critical to ensure the model does not perpetuate or amplify existing societal biases.
- E. Correct.
Restricting usage to prevent misuse, such as generating false or misleading content, directly addresses responsible AI practices by mitigating potential risks.