人工智能领域关系伦理的新民族志视角

Q1 Mathematics Quality & Quantity Pub Date : 2023-09-30 DOI:10.1007/s11135-023-01751-3
Pavle Pavlović, Mitja Hafner Fink
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引用次数: 0

摘要

本文是在人工智能领域普遍存在且已经饱和的伦理话题的浪潮中创作的。我们的动机是这一领域内规则的激增,以及对这一主题的后人文主义批评。我们试图通过扩大生态位构建概念和环境视角在民族志研究中的可用性,为算法和伦理问题的研究提供论据,为“伦理如何”问题的社会科学分析提供一个新的研究平台。从设计的角度来看,这意味着通过加强对设计的探究来扩展与伦理问题相关的探索,这不仅包括设计过程,还包括更全面的环境。受进化人类学、科学研究和科学哲学当前趋势的启发,我们赞同在当前关于科学信任的科学辩论中从立场理论重申伦理问题的方法。我们对价值中立问题的历史观点的结果指出,工具不中立的位置并不意味着它有偏见,而是它深深地卷入了影响它有偏见的关系网络,并威胁到它的自主性。通过提供基于伦理问题的论证,我们培育了所谓的实践生态学和鉴赏家,作为一种新的实践和视角,人种学可以承担责任,道德和可信赖的科学问题。
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New ethnographic perspective on relational ethics in the field of Artificial intelligence
Abstract This article was created on the wave of the ubiquitous and already-saturated topic of ethics in the field of artificial intelligence. We were motivated by the proliferation of rules within this field and by a posthumanism critique of this topic. We attempt to nurture a new research platform for a social science analysis of the “ How of ethics” issue by providing an argument for the study of algorithms and ethical issues by expanding the usability of the concept of niche construction and environmental perspectives in ethnographic studies. From a design perspective, this means expanding the quest related to the ethical matter by intensifying the inquiry in a design that includes not just the design process but also a more comprehensive environment. Inspired by current trends in evolutionary anthropology, science studies, and the philosophy of science, we are in line with approaches that reaffirm ethical issues from standpoint theory in the current scientific debate about trust in science. The results of our historical perspective on the issue of value neutrality point out that the position where the tool is not neutral does not mean that it is biased but that it is deeply involved in the network of relationships that influence it to be biased, and that threatens its autonomy. By providing argumentation based on the issue of ethics, we have nurtured the so-called ecology of practice and connoisseurs as a new practice and perspective that ethnography can take on the issue of accountable, ethical, and trustable science.
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来源期刊
Quality & Quantity
Quality & Quantity 管理科学-统计学与概率论
CiteScore
4.60
自引率
0.00%
发文量
276
审稿时长
4-8 weeks
期刊介绍: Quality and Quantity constitutes a point of reference for European and non-European scholars to discuss instruments of methodology for more rigorous scientific results in the social sciences. In the era of biggish data, the journal also provides a publication venue for data scientists who are interested in proposing a new indicator to measure the latent aspects of social, cultural, and political events. Rather than leaning towards one specific methodological school, the journal publishes papers on a mixed method of quantitative and qualitative data. Furthermore, the journal’s key aim is to tackle some methodological pluralism across research cultures. In this context, the journal is open to papers addressing some general logic of empirical research and analysis of the validity and verification of social laws. Thus The journal accepts papers on science metrics and publication ethics and, their related issues affecting methodological practices among researchers. Quality and Quantity is an interdisciplinary journal which systematically correlates disciplines such as data and information sciences with the other humanities and social sciences. The journal extends discussion of interesting contributions in methodology to scholars worldwide, to promote the scientific development of social research.
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