有意识的人工智能和生物自然主义。

IF 16.6 1区 心理学 Q1 BEHAVIORAL SCIENCES
Anil K Seth
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引用次数: 0

摘要

随着人工智能(AI)的不断发展,人们很自然地会问,人工智能系统是否不仅可以智能,还可以有意识。我思考为什么人们会认为人工智能可以发展出意识,找出一些导致我们误入歧途的偏见。我问有意识的人工智能需要什么才能成为现实,挑战计算为意识提供充分基础的假设。相反,我认为意识依赖于我们作为生物体的本质——这是生物自然主义的一种形式。我列出了有意识的人工智能的一系列场景,得出的结论是,真正的人工意识不太可能沿着当前的轨迹发展,但随着人工智能变得更像大脑和/或更像生命,它会变得更有可能。最后,我探讨了人工智能产生的伦理问题,这些问题要么是有意识的,要么是令人信服地有意识的。如果我们把自己的思想廉价地卖给机器,我们不仅高估了它们,也低估了自己。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conscious artificial intelligence and biological naturalism.

As artificial intelligence (AI) continues to advance, it is natural to ask whether AI systems can be not only intelligent, but also conscious. I consider why people might think AI could develop consciousness, identifying some biases that lead us astray. I ask what it would take for conscious AI to be a realistic prospect, challenging the assumption that computation provides a sufficient basis for consciousness. I'll instead make the case that consciousness depends on our nature as living organisms - a form of biological naturalism. I lay out a range of scenarios for conscious AI, concluding that real artificial consciousness is unlikely along current trajectories, but becomes more plausible as AI becomes more brain-like and/or life-like. I finish by exploring ethical considerations arising from AI that either is, or convincingly appears to be, conscious. If we sell our minds too cheaply to our machine creations, we not only overestimate them - we underestimate ourselves.

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来源期刊
Behavioral and Brain Sciences
Behavioral and Brain Sciences 医学-行为科学
CiteScore
1.40
自引率
1.70%
发文量
353
期刊介绍: Behavioral and Brain Sciences (BBS) is a highly respected journal that employs an innovative approach called Open Peer Commentary. This format allows for the publication of noteworthy and contentious research from various fields including psychology, neuroscience, behavioral biology, and cognitive science. Each article is accompanied by 20-40 commentaries from experts across these disciplines, as well as a response from the author themselves. This unique setup creates a captivating forum for the exchange of ideas, critical analysis, and the integration of research within the behavioral and brain sciences, spanning topics from molecular neurobiology and artificial intelligence to the philosophy of the mind.
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