![]() ![]() ![]() Instead, the study says, it appears tech companies are repeating some of the patterns that played out over the last century with fossil fuel companies and so many other industries: They’re opting to save money by making communities that already have strained resources and other added burdens also bear the brunt of environmental impacts associated with AI. ![]() It takes lots of water and energy to keep densely packed computer servers for these systems cool and running smoothly.Ī new study out of UC Riverside suggests technology companies, so far, aren’t doing enough to ensure such growing environmental impacts of AI are distributed equitably. Experts are working on ways to use machine learning to help us use resources more efficiently, for example, and to more accurately predict increasingly common extreme weather events.īut before AI can be put to use in those ways, technology companies need to put the programs through intense training sessions and build or expand warehouse-scale data centers to support these systems. And few potential tools on the table are triggering quite the same blend of optimism and concern, promise and confusion, as artificial intelligence.ĪI, which involves sophisticated computer systems that can mimic some aspects of human cognition, has vast potential to help humans combat climate change and be better prepared to deal with its effects. There’s hope for even the most ardent of climate change observers in the notion that if human innovation and technology got us into this mess, they can get us out of it. ![]()
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