NCA-GENM Question 212
Select 3An organization is deploying a generative AI multimodal model to assist in medical diagnostics. To ensure the AI system aligns with the ethical principles of trustworthy AI, which of the following actions should they prioritize?
- A
Ensure the model's outputs are explainable and transparent to medical professionals and patients.
- B
Guarantee that the model is trained on diverse datasets representing all demographic groups.
- C
Allow the model to make autonomous medical decisions without human oversight.
- D
Implement measures to prevent bias and ensure fairness in the model's predictions.
- E
Focus only on the accuracy of the model's predictions while ignoring other considerations.
Show answer and explanation
Correct answers: A, B, D
Explanation
Trustworthy AI is built on ethical principles such as transparency, fairness, accountability, and inclusivity. In a high-stakes domain like medical diagnostics, ensuring explainability, training on diverse datasets, and addressing bias are essential to maintaining trust and ethical alignment. Autonomous decisions without human oversight and ignoring factors beyond accuracy can lead to unethical outcomes, undermining trust in the AI system.
- A. Correct.
Ensuring explainability and transparency is a key principle of trustworthy AI, especially in sensitive fields like healthcare, where stakeholders need to understand the basis of AI predictions.
- B. Correct.
Training the model on diverse datasets helps prevent bias and ensures inclusivity, which is essential for equitable outcomes in generative AI systems.
- C. Incorrect.
Allowing the model to make autonomous decisions without human oversight violates the principle of accountability, which is a cornerstone of trustworthy AI, particularly in critical areas like medicine.
- D. Correct.
Preventing bias and ensuring fairness are vital to building trust and ensuring ethical outcomes, as biased models can lead to harmful or unjust decisions.
- E. Incorrect.
Focusing solely on accuracy disregards other critical aspects of trustworthy AI, such as fairness, transparency, and accountability, which are equally important for ethical AI deployment.