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The environmental impacts of artificial intelligence (AI) may vary significantly. Many deep learning methods have significant carbon footprints and water usage. [ 1 ] Some scientists have suggested that artificial intelligence may provide solutions to environmental problems.
The potential for the creation of a wealth-biased global landscape of AI-based efforts to address climate change and conservation issues — as well as business, health, political, and many other ...
ARIES seeks to integrate scientific data and models that simulate environmental and socioeconomic systems to address linked scientific modelling problems, [6] through semantics (computer science), [7] FAIR data and models, [8] and an open-source software infrastructure called Knowledge Laboratory (k.LAB) to semantically describe, code, and distribute data and models for end-users, modellers ...
AI for the Environment: These teams seek to apply artificial intelligence solutions to the prevention of poaching and illegal fishing in locations around the world, as well as environmental problems like climate modeling and wildfire management. The teams in this group include EarthRanger, Skylight, Climate Modeling, and Wildlands.
T he Biden Administration’s move on Jan. 13 to curb exports on the advanced computer chips used to power artificial intelligence (AI) arrived in the wake of two major events over the Christmas ...
According to AI Now, an AIA would be similar to environmental impact assessment, in that it would require public disclosure and access for external experts to evaluate the effects of an AI system, and any unintended consequences. This would allow systems to be vetted for issues like biased outcomes or skewed training data, which researchers ...