English(EN) Beyond the principle-practice gap: Responsible AI as situated epistemic and ethical practice

负责任的AI实践与情境化的伦理和认知背景相关联

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-05 05:00

本文认为，负责任的AI原则与实际实践之间所谓的鸿沟，源于AI开发所处的复杂制度和专业背景。通过对参与反人口贩运AI系统的个人的访谈，研究强调了认知选择、专业限制和制度逻辑如何塑造伦理判断和行动。作者提出，有效的负责任AI治理需要强大的认知基础设施，能够整合受影响社区的知识，并在设计过程中将潜在危害转化为可操作的措施。 AI

影响通过解决系统性和专业性限制，强调了将伦理考量更好地融入AI开发过程的必要性。

排序理由关于AI伦理和实践的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 26 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 关于AI伦理和实践的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, safety; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Thao Do Ngoc, Emma Carmel · 2026-11-05 05:00

超越原则-实践鸿沟：负责任的人工智能作为情境化的认知与伦理实践

arXiv:2611.06709v1 Announce Type: cross Abstract: Responsible AI scholarship has found that ethical principles are frequently not reflected in AI design and development. Conceptualised as a `gap' between principle and practice, this is framed as a problem of implementation, aware…

本文如何被排名

报道来源 [1]

超越原则-实践鸿沟：负责任的人工智能作为情境化的认知与伦理实践

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