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NAEL: Non-Anthropocentric Ethical Logic

arXiv 2510.14676 ↗First posted 16 Oct 2025cs.AIcited by 0

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Abstract (arXiv)

We introduce NAEL (Non-Anthropocentric Ethical Logic), a novel ethical framework for artificial agents grounded in active inference and symbolic reasoning. Departing from conventional, human-centred approaches to AI ethics, NAEL formalizes ethical behaviour as an emergent property of intelligent systems minimizing global expected free energy in dynamic, multi-agent environments. We propose a neuro-symbolic architecture to allow agents to evaluate the ethical consequences of their actions in uncertain settings. The proposed system addresses the limitations of existing ethical models by allowing agents to develop context-sensitive, adaptive, and relational ethical behaviour without presupposing anthropomorphic moral intuitions. A case study involving ethical resource distribution illustrates NAEL's dynamic balancing of self-preservation, epistemic learning, and collective welfare.

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References · 3

  1. 2017Fairness in Machine Learning: Lessons from Political Philosophycited by 149
  2. 2017Deep Active Inferencecited by 44
  3. 2020Whence the Expected Free Energy?cited by 40

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