机器拟人化:现实还是大众神话?

IF 4.2 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Simon Coghlan
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引用次数: 0

摘要

一种普遍的观点认为,人们经常将某些机器人、计算机和人工智能系统等机器拟人化,错误地将心理状态归因于它们。根据这种观点,人们几乎不可抗拒地相信--即使只是下意识地相信--具有某些类似人类特征的机器确实具有悲、喜、欲、痛、乐和苦恼等现象或主观体验,尽管它们缺乏这些感受。本文通过对支持这一观点的常见论据进行批判,并提出另一种解释,对这一观点提出质疑。即使人们关于类人机器的行为和语言表明他们相信这些机器真的有精神状态,但也有可能他们根本不相信这一点。本文还简要讨论了将这种拟人化视为流行神话的潜在影响。这项研究揭示了拟人化这一难以理解的概念,有助于澄清人类与越来越像人类和动物的机器之间可能存在的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Anthropomorphizing Machines: Reality or Popular Myth?

According to a widespread view, people often anthropomorphize machines such as certain robots and computer and AI systems by erroneously attributing mental states to them. On this view, people almost irresistibly believe, even if only subconsciously, that machines with certain human-like features really have phenomenal or subjective experiences like sadness, happiness, desire, pain, joy, and distress, even though they lack such feelings. This paper questions this view by critiquing common arguments used to support it and by suggesting an alternative explanation. Even if people’s behavior and language regarding human-like machines suggests they believe those machines really have mental states, it is possible that they do not believe that at all. The paper also briefly discusses potential implications of regarding such anthropomorphism as a popular myth. The exercise illuminates the difficult concept of anthropomorphism, helping to clarify possible human relations with or toward machines that increasingly resemble humans and animals.

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来源期刊
Minds and Machines
Minds and Machines 工程技术-计算机:人工智能
CiteScore
12.60
自引率
2.70%
发文量
30
审稿时长
>12 weeks
期刊介绍: Minds and Machines, affiliated with the Society for Machines and Mentality, serves as a platform for fostering critical dialogue between the AI and philosophical communities. With a focus on problems of shared interest, the journal actively encourages discussions on the philosophical aspects of computer science. Offering a global forum, Minds and Machines provides a space to debate and explore important and contentious issues within its editorial focus. The journal presents special editions dedicated to specific topics, invites critical responses to previously published works, and features review essays addressing current problem scenarios. By facilitating a diverse range of perspectives, Minds and Machines encourages a reevaluation of the status quo and the development of new insights. Through this collaborative approach, the journal aims to bridge the gap between AI and philosophy, fostering a tradition of critique and ensuring these fields remain connected and relevant.
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