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This paper is in the following e-collection/theme issue:

Research Methodology - AI (209) Artificial Intelligence (5073) Environmentally Sustainable Health Care and Climate Change Initiatives (63) Ethical, Legal, and Social Issues in AI (222)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/90770, first published .
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Quantifying and Disclosing the Environmental Footprint of AI in Research: Life Cycle–Informed Framework and Open-Access Calculator Development Study

Quantifying and Disclosing the Environmental Footprint of AI in Research: Life Cycle–Informed Framework and Open-Access Calculator Development Study

Authors of this article:

Kaveh Mozafari1 Author Orcid Image ;   Yuanchao Ma2, 3 Author Orcid Image ;   Mohsen Amoei2 Author Orcid Image ;   Bertrand Lebouche2, 4 Author Orcid Image ;   Esli Osmanlliu5 Author Orcid Image ;   Dan Poenaru2, 3 Author Orcid Image
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Journals

  1. Boone E, Loban K, Daskalo C, Rajasegaran S, Guadagno E, Haggerty J, Lambert S, Poenaru D. Synthetic Content Validation of Pediatric Trust Instruments Using Persona-Driven Large Language Models: Development and Evaluation Study. JMIR Formative Research 2026;10:e96901 View