Question

as major search engines begin to integrate machine learning and ai into their processors, hoping to provide users with more sophisticated results, it is important to consider the impact on these engines carbon footprint. by some estimates, ai - assisted search may require more than five times as much computing power as current engines. given that data centers are already responsible for close to 1% of global emissions, this is cause for concern. there are many ways to reduce the environmental impact of ai - driven search. the simplest is to power data centers with cleaner energy source. on the computing side, it may be possible to reduce computing power needed by the neural networks behind ai. according to google spokesperson jane park, combining such approaches “can reduce the carbon footprint of a machine - learning system by as much as 1,000 times.” what is one issue raised in text 2 which is not discussed in text 1? a the energy sources used to power data centers. b the computing power required by artificial intelligence. c the environmental impact of computing activity. d the carbon footprint of existing search engines.

Explanation:

Text 1 discusses integrating AI into search engines and providing users with more sophisticated results. Text 2 focuses on the environmental impact of AI - like the power - hungry nature of neural networks behind AI and the carbon footprint of machine - learning, and ways to reduce it. The energy sources used to power data centers are not mentioned in Text 2.

Answer:

A. The energy sources used to power data centers