Author: Dorsch, J., Coeckelbergh, M., Gürtler, P., Urban, P., Spang, F. et al.
AI Magazine (Fall 2025)
DOI: https://doi.org/10.1002/aaai.70016
Abstract:
In this Comment, we critique the growing “AI welfare” movement and propose a novel guideline, the Precarity Guideline, to determine care entitlement. In contrast to approaches that emphasize potential for suffering, the Precarity Guideline is grounded in empirically identifiable features. The severity of ongoing humanitarian crises, biodiversity loss, and climate change provides additional reasons to prioritize the needs of living beings over machine learning algorithms as candidates for care.
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Author: Dorsch, J., Coeckelbergh, M., Gürtler, P., Urban, P., Spang, F. et al.
AI Magazine (Fall 2025)
DOI: https://doi.org/10.1002/aaai.70016
Abstract:
In this Comment, we critique the growing “AI welfare” movement and propose a novel guideline, the Precarity Guideline, to determine care entitlement. In contrast to approaches that emphasize potential for suffering, the Precarity Guideline is grounded in empirically identifiable features. The severity of ongoing humanitarian crises, biodiversity loss, and climate change provides additional reasons to prioritize the needs of living beings over machine learning algorithms as candidates for care.
•• More publications:
Celetná 988/38
Prague 1
Czech Republic
This project receives funding from the Horizon EU Framework Programme under Grant Agreement No. 101086898.
Celetná 988/38
Prague 1
Czech Republic
This project receives funding from the Horizon EU Framework Programme under Grant Agreement No. 101086898.