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Asimov’s Laws of Robotics: Implications for Information Technology 阿西莫夫的机器人定律:对信息技术的启示
Pub Date : 2020-09-10 DOI: 10.4324/9781003074991-4
R. Clarke
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引用次数: 87
Agencies in Technology Design: Feminist Reconfigurations* 技术设计中的代理:女权主义重构*
Pub Date : 2020-09-10 DOI: 10.4324/9781003074991-32
L. Suchman
In this chapter I consider some new resources for thinking about how capacities for action are configured at the human-machine interface, informed by developments in feminist science and technology studies. While not all of the authors and works cited would identify as feminist, they share with feminist research – in my reading at least – a commitment to critical, but also reconstructive engagement with received conceptions of the human, the technological and the relations between them. Based on my own experience of the worlds of technology research and development, I argue that these reconceptualisations have implications for everyday practices of technology design. Both reconceptualisations of the human-machine interface, moreover, and the practices of their realization are inflected by, and consequential for, gendered relations within technoscience and beyond. The ideas and examples that I discuss below are draw from science and technology studies (STS), feminist theory, new media studies and experiments in cooperative systems design, each of which is multiple and extensive in themselves and no one of which can be adequately represented here. My hope nonetheless is to trace out enough of the lines of resonant thought that run across these fields of research to indicate the fertility of the ground, specifically with respect to creative reconfigurations at the interface of human and machine. One of the issues at stake here is the question of what counts as ‘innovation’ in science and engineering. This in itself, I will propose, is a gendered question insofar as it aligns with the longstanding feminist concern with the problem of who is recognized and who not in prevailing discourses of science and technology (see for example Suchman and Jordan 1989). Recent research on the actual work involved in putting technologies into use highlights the mundane forms of inventive yet taken for granted labor, hidden in the background, that are necessary to the success of complex sociotechnical arrangements. A central strategy in recognizing those labors is to decenter sites of innovation from singular persons, places and things to multiple acts of everyday activity, including the actions through which only certain actors and associated achievements
在本章中,我考虑了一些新的资源来思考如何在人机界面上配置行动能力,这些资源是由女权主义科学和技术研究的发展提供的。虽然并非所有的作者和作品都被认为是女权主义者,但至少在我的阅读中,他们与女权主义研究有着共同的承诺,即对人类,技术及其之间关系的公认概念进行批判性的,但也是重建性的参与。根据我自己在技术研究和开发领域的经验,我认为这些重新概念化对技术设计的日常实践有影响。此外,人机界面的重新概念化及其实现的实践都受到技术科学内外性别关系的影响,并由此产生后果。我下面讨论的观点和例子来自于科学技术研究(STS)、女权主义理论、新媒体研究和合作系统设计的实验,每一个都是多元的、广泛的,在这里没有一个可以充分地代表。尽管如此,我还是希望在这些研究领域中找到足够多的共鸣思想,以表明这片土地的肥沃,特别是在人与机器界面的创造性重新配置方面。这里利害攸关的问题之一是什么是科学和工程领域的“创新”。我认为,这本身就是一个性别问题,因为它与长期以来女权主义者关注的问题一致,即在科学和技术的主流话语中,谁被认可,谁不被认可(例如,参见Suchman和Jordan 1989)。最近关于将技术投入使用所涉及的实际工作的研究强调了隐藏在背景中的创造性但被视为理所当然的劳动的平凡形式,这对于复杂的社会技术安排的成功是必要的。承认这些劳动的一个核心策略是将创新场所从单一的人、地点和事物分散到日常活动的多种行为中,包括仅通过某些行为和相关成就的行为
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引用次数: 83
What Should We Want From a Robot Ethic? 我们应该从机器人伦理中得到什么?
Pub Date : 2020-09-10 DOI: 10.4324/9781003074991-10
P. Asaro
: There are at least three things we might mean by “ethics in robotics”: the ethical systems built into robots, the ethics of people who design and use robots, and the ethics of how people treat robots. This paper argues that the best approach to robot ethics is one which addresses all three of these
我们所说的“机器人伦理”至少有三方面的含义:机器人内置的伦理体系,设计和使用机器人的人的伦理,以及人们如何对待机器人的伦理。本文认为,解决机器人伦理问题的最佳方法是解决这三个问题
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引用次数: 84
The Mature, Importance, and Difficulty of Machine Ethics 机器伦理学的成熟、重要性和困难
Pub Date : 2020-09-10 DOI: 10.4324/9781003074991-21
J. Moor
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引用次数: 8
A Nascent Robotics Culture: New Complicities for Companionship 新生的机器人文化:陪伴的新共犯
Pub Date : 2020-09-09 DOI: 10.4324/9781003074991-12
S. Turkle
Encounters with humanoid robots are new to the everyday experience of children and adults. Yet, increasingly, they are finding their place. This has occurred largely through the introduction of a class of interactive toys (including Furbies, AIBOs, and My Real Babies) that I call “relational artifacts.” Here, I report on several years of fieldwork with commercial relational artifacts (as well as with the MIT AI Laboratory’s Kismet and Cog). It suggests that even these relatively primitive robots have been accepted as companionate objects and are changing the terms by which people judge the “appropriateness” of machine relationships. In these relationships, robots serve as powerful objects of psychological projection and philosophical evocation in ways that are forging a nascent robotics culture.
对于儿童和成人来说,与人形机器人的接触是一种新的日常体验。然而,他们越来越多地找到了自己的位置。这主要是通过引入一类互动玩具(包括Furbies、aibo和My Real Babies)实现的,我称之为“关系工件”。在这里,我报告了几年来对商业关系工件(以及MIT AI实验室的Kismet和Cog)的实地工作。它表明,即使是这些相对原始的机器人也已被接受为伴侣对象,并正在改变人们判断机器关系“适当性”的术语。在这些关系中,机器人作为心理投射和哲学唤起的强大对象,正在形成一种新生的机器人文化。
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引用次数: 40
Consciousness and Ethics: Artificially Conscious Moral Agents 意识与伦理:人工意识的道德主体
Pub Date : 2011-06-01 DOI: 10.1142/S1793843011000674
Wendell Wallach, C. Allen, S. Franklin
What roles or functions does consciousness fulfill in the making of moral decisions? Will artificial agents capable of making appropriate decisions in morally charged situations require machine consciousness? Should the capacity to make moral decisions be considered an attribute essential for being designated a fully conscious agent? Research on the prospects for developing machines capable of making moral decisions and research on machine consciousness have developed as independent fields of inquiry. Yet there is significant overlap. Both fields are likely to progress through the instantiation of systems with artificial general intelligence (AGI). Certainly special classes of moral decision making will require attributes of consciousness such as being able to empathize with the pain and suffering of others. But in this article we will propose that consciousness also plays a functional role in making most if not all moral decisions. Work by the authors of this article with LIDA, a computational and conceptual model of human cognition, will help illustrate how consciousness can be understood to serve a very broad role in the making of all decisions including moral decisions.
意识在道德决策中扮演什么角色或功能?能够在道德紧张的情况下做出适当决定的人工智能是否需要机器意识?做出道德决定的能力应该被认为是被指定为一个完全有意识的主体的基本属性吗?对开发能够做出道德决策的机器的前景的研究和对机器意识的研究已经发展成为独立的研究领域。然而,它们之间存在显著的重叠。这两个领域都有可能通过人工通用智能(AGI)系统的实例化而取得进展。当然,特殊类别的道德决策将需要意识的属性,例如能够同情他人的痛苦和苦难。但在这篇文章中,我们将提出,意识在做出大多数(如果不是全部的话)道德决策时也发挥着功能性作用。本文作者与LIDA(人类认知的计算和概念模型)的合作,将有助于说明意识如何被理解为在包括道德决策在内的所有决策中发挥非常广泛的作用。
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引用次数: 26
Legal Personhood for Artificial Intelligences 人工智能的法律人格
Pub Date : 2008-03-20 DOI: 10.4324/9781003074991-37
Lawrence B. Solum
Could an artificial intelligence become a legal person? As of today, this question is only theoretical. No existing computer program currently possesses the sort of capacities that would justify serious judicial inquiry into the question of legal personhood. The question is nonetheless of some interest. Cognitive science begins with the assumption that the nature of human intelligence is computational, and therefore, that the human mind can, in principle, be modelled as a program that runs on a computer. Artificial intelligence (AI) research attempts to develop such models. But even as cognitive science has displaced behavioralism as the dominant paradigm for investigating the human mind, fundamental questions about the very possibility of artificial intelligence continue to be debated. This Essay explores those questions through a series of thought experiments that transform the theoretical question whether artificial intelligence is possible into legal questions such as, "Could an artificial intelligence serve as a trustee?" What is the relevance of these legal thought experiments for the debate over the possibility of artificial intelligence? A preliminary answer to this question has two parts. First, putting the AI debate in a concrete legal context acts as a pragmatic Occam's razor. By reexamining positions taken in cognitive science or the philosophy of artificial intelligence as legal arguments, we are forced to see them anew in a relentlessly pragmatic context. Philosophical claims that no program running on a digital computer could really be intelligent are put into a context that requires us to take a hard look at just what practical importance the missing reality could have for the way we speak and conduct our affairs. In other words, the legal context provides a way to ask for the "cash value" of the arguments. The hypothesis developed in this Essay is that only some of the claims made in the debate over the possibility of AI do make a pragmatic difference, and it is pragmatic differences that ought to be decisive. Second, and more controversially, we can view the legal system as a repository of knowledge-a formal accumulation of practical judgments. The law embodies core insights about the way the world works and how we evaluate it. Moreover, in common-law systems judges strive to decide particular cases in a way that best fits the legal landscape-the prior cases, the statutory law, and the constitution. Hence, transforming the abstract debate over the possibility of AI into an imagined hard case forces us to check our intuitions and arguments against the assumptions that underlie social decisions made in many other contexts. By using a thought experiment that explicitly focuses on wide coherence, we increase the chance that the positions we eventually adopt will be in reflective equilibrium with our views about related matters. In addition, the law embodies practical knowledge in a form that is subject to public examination and disc
人工智能能成为法人吗?到目前为止,这个问题还只是理论上的。目前没有任何现有的计算机程序具有这种能力,可以证明对法人问题进行严肃的司法调查是合理的。尽管如此,这个问题还是引起了一些兴趣。认知科学开始于这样一个假设,即人类智能的本质是计算性的,因此,原则上,人类的思维可以被建模为在计算机上运行的程序。人工智能(AI)研究试图开发这样的模型。但是,即使认知科学已经取代行为主义,成为研究人类思维的主导范式,关于人工智能可能性的基本问题仍在继续争论。本文通过一系列思想实验探讨了这些问题,这些实验将人工智能是否可能的理论问题转化为法律问题,如“人工智能可以作为受托人吗?”这些法律思想实验与关于人工智能可能性的辩论有何关联?对这个问题的初步回答有两个部分。首先,将人工智能辩论置于具体的法律背景下,就像一把实用的奥卡姆剃刀。通过重新审视认知科学或人工智能哲学作为法律论据的立场,我们被迫在无情的实用主义背景下重新看待它们。哲学认为,在数字计算机上运行的任何程序都不可能是真正智能的,这就要求我们认真审视缺失的现实对我们说话和处理事务的方式有什么实际重要性。换句话说,法律上下文提供了一种要求论点的“现金价值”的方法。本文提出的假设是,在关于人工智能可能性的辩论中,只有一些主张确实产生了实用主义的差异,而实用主义的差异应该是决定性的。其次,也是更有争议的一点是,我们可以将法律体系视为知识宝库——实际判决的正式积累。法律体现了对世界运行方式和我们如何评价它的核心见解。此外,在普通法体系中,法官努力以一种最适合法律环境的方式来裁决特定的案件——以前的案件、成文法和宪法。因此,将关于人工智能可能性的抽象辩论转变为想象中的困难案例,迫使我们检查自己的直觉和论点,以反对在许多其他情况下做出社会决策的假设。通过使用一个明确关注广泛一致性的思想实验,我们增加了我们最终采取的立场与我们对相关问题的看法处于反思平衡的机会。此外,法律以一种接受公众审查和讨论的形式体现了实践知识。法律材料被出版,并受到广泛的公众审查和讨论。从法律中收集到的一些见解可能会澄清我们对人工智能辩论的态度。
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引用次数: 157
期刊
Machine Ethics and Robot Ethics
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