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From Mollusks to Machines

An Ethical Framework Focused on the Urgency of Extreme Suffering

Bibliographic Data

ID21598366
AuthorsJonathan Leighton (0000-0002-7397-5891, Organisation for the Prevention of Intense Suffering, corresponding author)
Year2025
Volume34
Issue4
Pages623-633
Publication date2025-10-01
Open AccessYes
TypeARTICLE
VenueCambridge Quarterly of Healthcare Ethics (JOURNAL)
Journal identifiersISSN: 0963-1801 • E-ISSN: 1469-2147
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0963180126100103
PMID42083090
OpenAlexW7160314781
LanguageEN
References cited17

Ethical thinking can be pragmatically framed as striving for impact in improving the world, without relying on traditional moral language. Consciousness or sentience is central to anything mattering, but only suffering has an inherent urgency to be addressed. This call to action applies regardless of species or physical substrate. From a perspective on personal identity that recognizes separateness as an illusion, the most extreme suffering can be considered intolerable per se, not just for the physical being experiencing it. Prioritizing the prevention of such suffering is therefore rational. Strong, potentially competing intuitions, including the desire to thrive, must also be accommodated for an ethical framework to be viable, without the creation of happiness formally balancing out intense suffering that exists elsewhere. A framework termed “xNU+” captures these considerations. Suffering metrics such as Years Lived with Severe Suffering (YLSS) and Days Lived with Extreme Suffering (DLES), used alongside existing health and well-being metrics, would better track what matters, in humans and, using different methodologies, in other species and potential artificial sentient entities. The rapid, potentially irreversible, technology-driven transformations now occurring on our planet make it urgent that we embed a suffering-focused ethical framework in our governance and policy-making

Consciousness · Happiness · Moral injury · Moral responsibility · Sentience · Ethics and Social Impacts of AI · Innovation, Sustainability, Human-Machine Systems · Neuroethics, Human Enhancement, Biomedical Innovations

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Highly citedNo

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