Responding to the normativity problem in machine ethics through the Power of the Other

IF 6.1 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Yuhang Guo
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引用次数: 0

Abstract

Contemporary debates in the source of normativity in machine ethics display a growing tendency to separate instrumental rationality from practical reason. The rationalist approach understands AI as an extension of the ideal rational agent, presupposing strong autonomy to ground normativity in internal coherence. Rationalist approaches exclude the possibility of understanding the external world through instrumental means and therefore fail to provide an adequate answer to the problem of normativity. The reasons why individuals act morally are not reducible to the validity of rational argumentation itself. Rather, any response to the problem of normativity must be grounded in respect for humanity and in the recognition of one’s own intrinsic value. The externalist approach treats machines as bearers or executors of moral law and can be divided into rigorist and teleological models. Yet, in both cases, AI is ultimately confined to an instrumental existence, and moral responsibility becomes difficult to sustain insofar as human agents are characterized by weak autonomy or problematized forms of autonomy. By invoking the Power of the Other in response to structural pressures in digital life, rather than compelling individuals to conform to algorithmic logic, this perspective promotes an open moral framework. It emphasizes ethical engagement grounded in relational awareness, enabling individuals to navigate the complexities of algorithmically mediated environments while maintaining attentiveness to the Other and the ethical significance of their actions.

通过他者的力量回应机器伦理学中的规范性问题
当代关于机器伦理学规范性来源的争论显示出越来越倾向于将工具理性与实践理性分开。理性主义方法将人工智能理解为理想理性主体的延伸,以内部一致性为基础的规范性为前提。理性主义方法排除了通过工具手段理解外部世界的可能性,因此无法为规范性问题提供充分的答案。个人道德行为的原因不能简化为理性论证本身的有效性。相反,对规范性问题的任何回应都必须以尊重人性和承认自己的内在价值为基础。外在主义方法将机器视为道德法则的承担者或执行者,可分为严格主义和目的论两种模式。然而,在这两种情况下,人工智能最终都局限于工具性存在,只要人类代理人的特点是自主性弱或自主性形式成问题,道德责任就难以维持。通过调用他者的力量来应对数字生活中的结构性压力,而不是强迫个人遵守算法逻辑,这种观点促进了一个开放的道德框架。它强调以关系意识为基础的道德参与,使个人能够驾驭算法介导的环境的复杂性,同时保持对他者的关注和他们行为的道德意义。
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来源期刊
AI & Society
AI & Society COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
8.00
自引率
20.00%
发文量
257
期刊介绍: AI & Society: Knowledge, Culture and Communication, is an International Journal publishing refereed scholarly articles, position papers, debates, short communications, and reviews of books and other publications. Established in 1987, the Journal focuses on societal issues including the design, use, management, and policy of information, communications and new media technologies, with a particular emphasis on cultural, social, cognitive, economic, ethical, and philosophical implications. AI & Society has a broad scope and is strongly interdisciplinary. We welcome contributions and participation from researchers and practitioners in a variety of fields including information technologies, humanities, social sciences, arts and sciences. This includes broader societal and cultural impacts, for example on governance, security, sustainability, identity, inclusion, working life, corporate and community welfare, and well-being of people. Co-authored articles from diverse disciplines are encouraged. AI & Society seeks to promote an understanding of the potential, transformative impacts and critical consequences of pervasive technology for societies. Technological innovations, including new sciences such as biotech, nanotech and neuroscience, offer a great potential for societies, but also pose existential risk. Rooted in the human-centred tradition of science and technology, the Journal acts as a catalyst, promoter and facilitator of engagement with diversity of voices and over-the-horizon issues of arts, science, technology and society. AI & Society expects that, in keeping with the ethos of the journal, submissions should provide a substantial and explicit argument on the societal dimension of research, particularly the benefits, impacts and implications for society. This may include factors such as trust, biases, privacy, reliability, responsibility, and competence of AI systems. Such arguments should be validated by critical comment on current research in this area. Curmudgeon Corner will retain its opinionated ethos. The journal is in three parts: a) full length scholarly articles; b) strategic ideas, critical reviews and reflections; c) Student Forum is for emerging researchers and new voices to communicate their ongoing research to the wider academic community, mentored by the Journal Advisory Board; Book Reviews and News; Curmudgeon Corner for the opinionated. Papers in the Original Section may include original papers, which are underpinned by theoretical, methodological, conceptual or philosophical foundations. The Open Forum Section may include strategic ideas, critical reviews and potential implications for society of current research. Network Research Section papers make substantial contributions to theoretical and methodological foundations within societal domains. These will be multi-authored papers that include a summary of the contribution of each author to the paper. Original, Open Forum and Network papers are peer reviewed. The Student Forum Section may include theoretical, methodological, and application orientations of ongoing research including case studies, as well as, contextual action research experiences. Papers in this section are normally single-authored and are also formally reviewed. Curmudgeon Corner is a short opinionated column on trends in technology, arts, science and society, commenting emphatically on issues of concern to the research community and wider society. Normal word length: Original and Network Articles 10k, Open Forum 8k, Student Forum 6k, Curmudgeon 1k. The exception to the co-author limit of Original and Open Forum (4), Network (10), Student (3) and Curmudgeon (2) articles will be considered for their special contributions. Please do not send your submissions by email but use the "Submit manuscript" button. NOTE TO AUTHORS: The Journal expects its authors to include, in their submissions: a) An acknowledgement of the pre-accept/pre-publication versions of their manuscripts on non-commercial and academic sites. b) Images: obtain permissions from the copyright holder/original sources. c) Formal permission from their ethics committees when conducting studies with people.
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