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Other ORP type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
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Blind spot sustainability: Making AI's environmental impact measurable

Authors: Winter, Lena; Züger, Theresa;

Blind spot sustainability: Making AI's environmental impact measurable

Abstract

Efficient, smart, environmentally friendly? Artificial Intelligence (AI) is often hailed as a solution to the major challenges of our time, including the fight against climate change. But behind this shining vision of the future lies a blind spot: AI consumes enormous amounts of energy, generates CO₂ emissions, and remains largely opaque in terms of its environmental footprint. Few people are aware that the operation of AI systems already leaves a measurable and rapidly growing ecological footprint worldwide. Yet reliable data, suitable measurement methods, and binding standards to assess this impact are still lacking. One thing is clear: anyone who wants to design and use AI responsibly must also consider its sustainability. This article explains why AI policy must always also be sustainability policy. What needs to change to make that possible?

Keywords

Environmental impact, Artificial intelligence, Sustainability, AI, Artificial Intelligence/ethics, Impact assessment, Environmental impact assessment, Artificial Intelligence/standards, Environmental sustainability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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