English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  A strong sustainability approach to AI development [Correspondence]

O’Neill, D. W., Creutzig, F. (2026): A strong sustainability approach to AI development [Correspondence]. - Nature Machine Intelligence, 8, 642-644.
https://doi.org/10.1038/s42256-026-01240-w

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_35113 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_35113_1
Genre: Journal Article

Files

show Files
hide Files
:
s42256-026-01240-w.pdf (Publisher version), 802KB
 
File Permalink:
-
Name:
s42256-026-01240-w.pdf
Description:
-
OA-Status:
Not specified
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
O’Neill, Daniel W.1, Author
Creutzig, Felix2, Author                 
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 2026-05-152026-05-15
 Publication Status: Finally published
 Pages: 3
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s42256-026-01240-w
MDB-ID: No data to archive
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Working Group: Cities: Data Science and Sustainable Planning
Research topic keyword: Sustainable Development
Research topic keyword: Planetary Boundaries
Research topic keyword: Inequality and Equity
Research topic keyword: Global Commons
Regional keyword: Global
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Nature Machine Intelligence
Source Genre: Journal, SCI, Scopus
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 8 Sequence Number: - Start / End Page: 642 - 644 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/nature-machine-intelligence
Publisher: Nature