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English(EN) The Evolutionary Origin of Values: implications for AI alignment, sentience and existential risk

人工智能对齐的挑战在于应用所学伦理，而非失控的代理行为

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇新发表在arXiv上的论文探讨了生物体价值观的演化起源，以解决对人工智能的担忧。作者认为，与受自我保存和内在动机驱动的生命系统不同，大型语言模型（LLMs）是异源的（allopoietic）和异目的的（allotelic），这意味着它们的目标是外部派生的，并且缺乏自我保存或支配的内在驱动力。虽然LLMs不会通过失控的代理行为构成生存风险，但它们会从训练数据中隐式吸收人类价值观，从而在确保这些所学的伦理价值观得到智能应用方面带来了对齐挑战。 AI

影响 将人工智能对齐研究的重点放在智能应用所学的伦理，而不是阻止失控的人工智能代理行为。

排序理由 该集群包含一篇关于人工智能对齐的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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人工智能对齐的挑战在于应用所学伦理，而非失控的代理行为

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该集群包含一篇关于人工智能对齐的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Francis Heylighen ·

    价值观的演化起源：对AI对齐、感知能力和生存风险的启示

    arXiv:2608.03361v1 Announce Type: cross Abstract: AI systems based on Large Language Models (LLMs) have prompted fears that they may harbor hidden goals, seek to dominate or eliminate humanity, or even suffer as sentient beings. We address these concerns by tracing the evolutiona…

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