论文标题

在功能上有效的有意识的AI而没有痛苦

Functionally Effective Conscious AI Without Suffering

论文作者

Agarwal, Aman, Edelman, Shimon

论文摘要

就意识在促进学习和行为控制方面具有功能作用,自主AI系统的建造者可能会尝试将其纳入其设计中。关于AI伦理的广泛文献涉及确保AI系统,尤其是自主意识的文献在道德上行事。相比之下,我们这里的重点是很少讨论工程意识AI的互补方面:如何避免谴责这样的系统,我们将全权地责任他们,是由非凡的自我意识带来的不可避免的痛苦。我们概述了这一问题的两种互补方法,一种是由对现象自我进行哲学分析的动机,另一种是由强化学习中的某些计算概念进行的。

Insofar as consciousness has a functional role in facilitating learning and behavioral control, the builders of autonomous AI systems are likely to attempt to incorporate it into their designs. The extensive literature on the ethics of AI is concerned with ensuring that AI systems, and especially autonomous conscious ones, behave ethically. In contrast, our focus here is on the rarely discussed complementary aspect of engineering conscious AI: how to avoid condemning such systems, for whose creation we would be solely responsible, to unavoidable suffering brought about by phenomenal self-consciousness. We outline two complementary approaches to this problem, one motivated by a philosophical analysis of the phenomenal self, and the other by certain computational concepts in reinforcement learning.

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