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Artificial intelligence in support of the circular economy: ethical considerations and a path forward

Abstract:
The world’s current model for economic development is unsustainable. It encourages high levels of resource extraction, consumption, and waste that undermine positive environmental outcomes. Transitioning to a circular economy (CE) model of development has been proposed as a sustainable alternative. Artificial intelligence (AI) is a crucial enabler for CE. It can aid in designing robust and sustainable products, facilitate new circular business models, and support the broader infrastructures needed to scale circularity. However, to date, considerations of the ethical implications of using AI to achieve a transition to CE have been limited. This article addresses this gap. It outlines how AI is and can be used to transition towards CE, analyzes the ethical risks associated with using AI for this purpose, and supports some recommendations to policymakers and industry on how to minimise these risks.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s00146-022-01596-8

Authors

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Institution:
University of Oxford
Division:
SSD
Department:
Saïd Business School
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author


Publisher:
Springer
Journal:
AI and Society More from this journal
Volume:
39
Issue:
3
Pages:
1451-1464
Publication date:
2022-11-28
Acceptance date:
2022-11-01
DOI:
EISSN:
1435-5655
ISSN:
0951-5666


Language:
English
Keywords:
Pubs id:
1268876
Local pid:
pubs:1268876
Source identifiers:
2078241
Deposit date:
2024-07-01
ARK identifier:
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