AI and generative AI in particular hold great promise in accelerating sustainability initiatives.
Phil Spring, Senior Partner at…[3]
Without proper sustainability measures, the expansion of AI could accelerate ecological harm and worsen climate change.
Mahmut Kandemir, Professor of …[4]
As AI adoption grows, the demand for data centers is likely to rise, leading to an increase in energy use.
Phil Spring, Senior Partner at…[3]
The widespread adoption of existing AI applications could lead to emissions reductions that are far larger than emissions from data centers.
Unknown[5]
Optimizing AI models to use fewer resources without significantly compromising performance is one approach to reducing AI's footprint.
Mahmut Kandemir, Professor of …[4]
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