NCA-GENM Question 207
Select 4You are tasked with designing a generative AI system that analyzes and integrates text, image, and audio data while adhering to ethical principles and minimizing energy consumption. Which of the following practices should you prioritize to ensure the system is ethical, energy-conscious, and reliable?
- A
Implement model interpretability tools to ensure the system's decision-making process is transparent.
- B
Train the system on a diverse and representative dataset to reduce biases in generated outputs.
- C
Use energy-efficient hardware like GPUs optimized for AI workloads and implement model pruning techniques.
- D
Avoid testing the model's behavior on edge cases to save development time.
- E
Ensure the system provides clear disclaimers when AI-generated content is presented to users.
Show answer and explanation
Correct answers: A, B, C, E
Explanation
To design an ethical, energy-conscious, and reliable generative AI system, it is critical to focus on transparency, fairness, and energy efficiency. Practices such as implementing interpretability tools, training on diverse datasets, optimizing energy use, and providing disclaimers for AI-generated content all align with these goals. Avoiding edge case testing, however, would compromise the system's reliability, making it an unsuitable practice.
- A. Correct.
Implementing model interpretability tools is essential for transparency, allowing users to understand how the AI system arrives at its decisions, which aligns with ethical AI design principles.
- B. Correct.
Training on a diverse and representative dataset helps reduce biases, ensuring fairness and reliability in the system's outputs.
- C. Correct.
Using energy-efficient hardware and techniques like model pruning reduces energy consumption, contributing to an energy-conscious design.
- D. Incorrect.
Avoiding testing on edge cases risks overlooking potential failure scenarios, which could lead to unreliable or biased system behavior, making this practice unsuitable.
- E. Correct.
Providing clear disclaimers ensures users are aware of AI-generated content, promoting transparency and ethical application of the system.