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intitle:
The document title intitle:"climate education"
ispublisher:
The publishing organization ispublisher:CAPE
insummary:
Summary and key findings insummary:"conflict of interest"
hasconcept:
Climate tags, frame/perspective and analysis type hasconcept:"Climate Justice"
geography:
Regions the document covers or discusses geography:Canada
doctype:
Document type doctype:report
lang:
Document language, as an ISO code lang:fr
cidid:
One record, by its directory id cidid:iisd-000297
Analysis TypeCorporate accountability audit
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  • The report argues that the AI industry uses a 'bait-and-switch' greenwashing tactic, where the proven climate benefits of 'traditional' AI (such as predictive models) are used to justify the massive energy and water consumption of 'consumer generative AI' (such as ChatGPT). An analysis of 154 climate benefit claims found that 97% related to traditional AI, while only 3% related to consumer generative AI, with no evidence found that the latter leads to substantial emissions reductions. Furthermore, the report finds that evidence for these benefits is generally weak, with 36% of claims citing no evidence and only 26% citing published academic research. This narrative masks the immediate climate impacts of data centre expansion, which the report states is boosting demand for fossil fuels and risking the ability of regions like Ireland and Australia to meet carbon targets.

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    Regions: World
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