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Climate change and health: the next challenge of ethical AI

  • Technical University of Munich
  • International Institute for Applied Systems Analysis, Laxenburg
  • Vienna-UNI
  • Massachusetts Institute of Technology
  • Harvard Medical School
  • Harvard T.H. Chan School of Public Health

Research output: Contribution to journalReview articlepeer-review

15 Scopus citations

Abstract

Artificial intelligence (AI) is one of the world's most resource-intensive digital technologies, but the environmental impact of AI on health remains largely unaddressed in both global health and bioethics. Effects on the environment have, thus far, been understood as a subsidiary consideration in AI ethics and rarely considered as a key ethical concern. AI technologies exacerbate climate change and sociopolitical instability due to their intensive use of natural resources and energy resources linked to the training and deployment of algorithmic systems. In global health, this intensive resource use is particularly concerning, given the explicit emphasis on improving health and advancing equity across the world. To address this, we interrogate how the inclusion of AI's environmental impact necessarily reshapes established ethical commitments in AI ethics frameworks and propose concrete strategies for accountability in the area of global health. This approach includes building a culture of intentional AI, for example through improved reporting, auditing, and intranational cooperation, in order to better align AI development and AI ethics with critical climate goals.

Original languageEnglish
Pages (from-to)e1314-e1320
JournalThe Lancet Global Health
Volume13
Issue number7
DOIs
StatePublished - Jul 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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