NCA-GENM Question 206
Select 3A team is designing a generative AI system capable of processing text, images, and audio to assist in medical diagnostics. Which practices should they prioritize to ensure the system is ethical, energy-conscious, and reliable?
- A
Implement transparency mechanisms, such as explainable AI models or documentation of decision-making processes.
- B
Optimize the model's architecture to reduce energy consumption during training and inference.
- C
Ignore biases in the training data since they do not impact multimodal AI systems significantly.
- D
Conduct regular audits to evaluate fairness, bias, and performance across diverse demographic groups.
- E
Prioritize achieving higher model accuracy over addressing explainability and ethical considerations.
Show answer and explanation
Correct answers: A, B, D
Explanation
To design an ethical, energy-conscious, and reliable multimodal AI system, it is essential to focus on transparency, sustainability, and fairness. This includes implementing explainable AI, optimizing energy usage, and auditing for fairness, while avoiding practices that compromise ethics or ignore critical biases in training data.
- A. Correct.
Transparency mechanisms are crucial for building trust and ensuring that the AI system's decisions can be interpreted and verified by users, especially in sensitive domains like medical diagnostics.
- B. Correct.
Optimizing the model's architecture to reduce energy consumption aligns with the goal of creating energy-conscious AI systems, which is critical for sustainability.
- C. Incorrect.
Ignoring biases in training data is incorrect because biases can significantly influence the performance and fairness of multimodal AI systems, leading to unethical or unreliable outcomes.
- D. Correct.
Regular audits are essential to ensure the system remains fair, unbiased, and reliable across different demographic groups, which is critical for ethical AI deployment.
- E. Incorrect.
Prioritizing accuracy at the expense of explainability and ethics is not recommended, as it can lead to a lack of transparency and potential misuse of the AI system.