If asimo thinks, does roomba feel?

C. Jaeger, D. Levin
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引用次数: 10

Abstract

Just as our interactions with other people are shaped by our concepts about their beliefs, desires, and goals (i.e., "theory of mind"), our interactions with intelligent technologies such as robots are shaped by our concepts about their internal operations. Multiple studies have demonstrated that people attribute anthropomorphic features to technological agents in certain contexts, but researchers remain divided on how these attributions arise: What default assumptions do people make about the internal operations of intelligent technology, and what events or additional information cause us to alter those default assumptions? This article explores these open questions and some of their implications for law and policy. First, we review psychological research exploring people's attributions of agency, with particular focus on attributions to technological entities. Next, we define and describe one popular account of this research---a "promiscuous agency" account that assumes a reflexive tendency to broadly attribute humanlike properties to technological agents. We then summarize mounting evidence that people are often more cautious in attributing human properties than the promiscuous agency account suggests. We seek to integrate the mounting evidence for a "selective agency" account with the promiscuous agency account through the transition model of agency. Finally, we explore how selective agency, promiscuous agency, and the transition model relate to a sample of robotics law and policy issues. We address, in turn, issues related to Fourth Amendment protection, copyright law, statutory and regulatory interpretation, and negligence litigation, identifying specific implications of the transition model of agency for each issue.
如果asimo会思考,roomba会有感觉吗?
正如我们与其他人的互动是由我们对他们的信仰、欲望和目标的概念所塑造的(即“心智理论”),我们与智能技术(如机器人)的互动也是由我们对其内部运作的概念所塑造的。多项研究表明,在某些情况下,人们将拟人化特征归因于技术代理,但研究人员对这些属性是如何产生的仍存在分歧:人们对智能技术的内部操作做出了哪些默认假设,哪些事件或额外信息导致我们改变这些默认假设?本文探讨了这些悬而未决的问题及其对法律和政策的一些影响。首先,我们回顾了探索人们对代理的归因的心理学研究,特别是对技术实体的归因。接下来,我们定义并描述了这项研究的一个流行解释——“混杂代理”解释,该解释假设了一种反射倾向,即将类似人类的属性广泛地归因于技术代理。然后,我们总结了越来越多的证据,表明人们在归因人类属性时往往比混杂的代理解释所暗示的更为谨慎。我们试图通过代理的过渡模型,将“选择性代理”账户与混杂代理账户的证据整合起来。最后,我们探讨了选择性代理、混杂代理和过渡模型与机器人法律和政策问题的关系。我们依次讨论与第四修正案保护、版权法、法定和监管解释以及过失诉讼相关的问题,并确定每个问题的代理过渡模式的具体含义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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