Scientific Paper · source-verified

E-Waste Challenges of Generative Artificial Intelligence

Wang, Peng; Zhang, Ling-Yu; Tzachor, Asaf; Chen, Wei-Qiang · 2024-10-28

Generative AI contributes to growing e-waste, but circular economy strategies could significantly reduce its environmental impact.

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Wang, Peng; Zhang, Ling-Yu; Tzachor, Asaf; Chen, Wei-Qiang. 2024-10-28. E-Waste Challenges of Generative Artificial Intelligence. https://www.nature.com/articles/s43588-024-00712-6 (AI & Environment Resource Hub; record paper-008; collection snapshot 2026-09-15).

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Available source metadata

Author or creator
Wang, Peng; Zhang, Ling-Yu; Tzachor, Asaf; Chen, Wei-Qiang
Publisher
Nature Computational Science
Publication date
2024-10-28
Date precision
day
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source status
verified
Last verified
2026-09-15T16:58:06Z
Snapshot import
2026-09-06
Legacy domain
Cross-Cutting Sustainability
Legacy subdomain
Electronic Waste from AI Hardware
journal
Nature Computational Science

Provenance and review

Source sheet: Scientific Paper · Row 12 · Original ID: paper-008.

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A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.

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