Which statement about AI sustainability and lifecycle considerations is accurate?

• A. Only regarding energy usage in runtime.
• B. Encompasses energy use, carbon footprint, and efficiency throughout the model’s lifecycle.
• C. Focuses only on the color of UI.
• D. Is about hardware purchase.

Answer: (B)

Understanding AI sustainability means looking at energy use and environmental impact across the entire life of a model. It isn’t enough to consider only how much energy the model uses while running; the training phase, updates and maintenance, deployment at scale, data storage and cooling of data centers, and even hardware refreshes and end-of-life disposal all contribute to the total carbon footprint and efficiency. So the accurate statement is that energy use, carbon footprint, and efficiency are relevant throughout the model’s lifecycle. The other options miss important aspects: focusing solely on runtime energy ignores upstream and downstream costs, the color of the user interface is unrelated to sustainability, and hardware purchases alone don’t address ongoing energy use or lifecycle impacts.