Cited by 510Green IT and SustainabilityEnergy Efficiency in ComputingEthics and Social Impacts of AI

The DOI matches its Crossref record.

The carbon impact of artificial intelligence

Dhar, Payal·2020·Nature Machine Intelligence

Overview

Integrity signals

Registry

Crossref · 10.1038/s42256-020-0219-9

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cited by

Sorted by citations

See all 510

Metadata

Authors
Dhar, P.
Corresponding author
Dhar, Payal
Venue
Nature Machine Intelligence
Published
2020-08-12
Volume
2
Issue
8
Pages
423-425
ISSN
2522-5839 (ISSN-L)
OpenAlex
W3048650942
Cited by
509
References
0
Citations by year
2026: 67 · 2025: 114 · 2024: 125 · 2023: 130 · 2022: 45 · 2021: 28
Type
other
Language
en
Open access
closed
Locations
Nature Machine Intelligence (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
  • Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Keywords
artificial intelligence, carbon footprint, climate change, technology professionals

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review