AI model developers should recognize that while training their models consumes vast amounts of resources, they can give back by sharing value with the communities that surround the infrastructure producing these resources.
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#sustainableai #S12Y #aiinfrastructure #sustainablecomputing #sharingiscaring
AI model developers should work toward using generalized computing architectures rather than specialized ones.
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#sustainableai #S12Y #aiinfrastructure #sustainablecomputing
AI model developers should schedule training their data when there is an abundance of renewable energy in the region of their infrastructure.
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#sustainableai #S12Y #aiinfrastructure #sustainablecomputing
AI model developers should use shared infrastructure for training to promote fair competition and innovation.
Do you agree?
#sustainableai #S12Y #aiinfrastructure #sustainablecomputing #sharingiscaring
Data set providers should label each of the data sets they offer with the total environmental impact as well as local value creation.
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#sustainableai #S12Y #aiinfrastructure #sustainablecomputing
Data set providers should use shared infrastructure for the generation of synthetic or the crawling and collecting of other data.
Government should facilitate the environmental impact measurement of AI models.
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#sustainableai #S12Y #aiinfrastructure #sustainablecomputing
Governments should facilitate digital resource sharing across AI market participants.
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Government tenders should require transparency on environmental impact and local value creation.
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#sustainableai #S12Y #aiinfrastructure #sustainablecomputing #betransparent
Governments should invest in the development of certifications for AI models and AI services based on their environmental costs and value contribution the the local economy.
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