在智能系统中培养尊严

IF 0.6 Q2 HISTORY & PHILOSOPHY OF SCIENCE
Adeniyi Fasoro
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引用次数: 0

摘要

随着人工智能(AI)跨社会领域的整合,主流的技术范式往往忽视了对合作复原力至关重要的人类关系需求。有意识地支持尊严和智慧的其他途径值得考虑。本文综合了美德与关爱伦理学的开创性见解,阐述了以下四项优先考虑社区健康的基本设计原则:(1)肯定生命的神圣性;(2)培养健康的依恋关系;(3)促进社区的整体性;以及(4)保障社会的复原力。我的分析立足于丰富的道德哲学传统,我认为,这些原则为可持续创新轨迹提供了支架,这些轨迹有意识地将共同福利进步放在中心位置,而不仅仅是脱离技术能力或效率基准。通过阐明与先驱性倡议的联系,我们可以看到这一愿景已初具雏形,但迄今为止,普遍采用这一愿景在很大程度上仍是奢望。实现基于尊严的人工智能需要持续的集体承诺,而不是企业的利润动机或治理程序主义。我的结论敦促制定技术政策和优先事项,以增强人们的脆弱性,而不是控制优化系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cultivating Dignity in Intelligent Systems
As artificial intelligence (AI) integrates across social domains, prevailing technical paradigms often overlook human relational needs vital for cooperative resilience. Alternative pathways consciously supporting dignity and wisdom warrant consideration. Integrating seminal insights from virtue and care ethics, this article delineates the following four cardinal design principles prioritizing communal health: (1) affirming the sanctity of life; (2) nurturing healthy attachment; (3) facilitating communal wholeness; and (4) safeguarding societal resilience. Grounding my analysis in the rich traditions of moral philosophy, I argue that these principles scaffold sustainable innovation trajectories that consciously center shared welfare advancement over detached technical capabilities or efficiency benchmarks alone. Elucidating connections with pioneering initiatives demonstrates fragments of this vision taking embryonic shape, yet pervasive adoption remains largely aspirational to date. Fulfilling dignity-based artificial intelligence demands ongoing collective commitment beyond firms’ profit motives or governance proceduralism. My conclusions urge technology policies and priorities directed toward empowering the vulnerability of people rather than controlling the optimization of systems.
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来源期刊
Philosophies
Philosophies Multiple-
CiteScore
1.30
自引率
11.10%
发文量
122
审稿时长
11 weeks
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