AI ethics should mimic human brain principles, new paper argues

A new paper proposes an "architecture of care" for artificial intelligence in life sciences, arguing that AI ethics should be grounded in human brain principles rather than current reward-maximizing models. The authors suggest that machines built on a global neuronal workspace and a continuous cycle of wanting, liking, and satiety, rather than pure maximization, would require governance through "upbringing" rather than mere restraint. This approach aims to reconcile the universal ethical judgments derived from shared brain networks with the diverse morals shaped by individual social and cultural experiences. AI

IMPACT Proposes a new framework for AI ethics in life sciences, potentially influencing future AI development and governance.

RANK_REASON The cluster contains an academic paper discussing AI ethics. [lever_c_demoted from research: ic=1 ai=1.0]

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• Morten L. Kringelbach

• paper
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