NCA-GENM Question 205
Select 4You are tasked with designing a generative AI system capable of interpreting text, images, and audio data. The system will be used in a healthcare application to provide diagnostic assistance. Which considerations are MOST important to ensure the AI system is ethical, energy-conscious, and reliable while maintaining transparency and fairness?
- A
Ensure the training data includes diverse and representative samples to avoid biases.
- B
Optimize the system's computational efficiency to reduce energy consumption during training and inference.
- C
Overfit the model on high-quality diagnostic data to maximize accuracy.
- D
Provide detailed explanations of the AI's decisions to enhance transparency.
- E
Regularly evaluate the model against fairness metrics to prevent discriminatory outputs.
Show answer and explanation
Correct answers: A, B, D, E
Explanation
When designing generative AI systems for critical applications like healthcare, it is essential to address ethical considerations such as bias and fairness, optimize energy usage to minimize environmental impact, and ensure transparency in decision-making. These measures collectively ensure the system is ethical, reliable, and trustworthy for end-users.
- A. Correct.
Ensuring diverse and representative training data is critical to minimizing bias in AI systems, especially in sensitive applications like healthcare.
- B. Correct.
Optimizing computational efficiency helps reduce the environmental impact of AI training and inference, aligning with energy-conscious design principles.
- C. Incorrect.
Overfitting the model sacrifices generalizability and can lead to unreliable outputs, which is counterproductive in ethical AI design.
- D. Correct.
Providing detailed explanations of AI decisions improves transparency and enables end-users to trust and verify the system's outputs.
- E. Correct.
Regularly evaluating the model against fairness metrics ensures that the system does not produce discriminatory or unfair outcomes.