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English(EN) Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation

英国警务中的人工智能:利益相关者辩论种族偏见和有效性

一项近期在英国进行的研究,参与者包括社区代表、警官和学者,探讨了人工智能在警务中的风险,特别关注种族偏见。审议显示,参与者普遍接受人工智能的应用,仅拒绝了少数用例,如累犯风险评估。讨论集中在人工智能的有效性、其益处以及这些益处是否公平,这表明从一开始就纳入种族公平视角可以带来更全面的风险效益分析。 AI

影响 强调了包容性设计和利益相关者审议在减轻偏见和确保人工智能在公共服务中带来公平效益方面的重要性。

排序理由 该集群包含一篇讨论人工智能安全和政策影响的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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英国警务中的人工智能:利益相关者辩论种族偏见和有效性

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该集群包含一篇讨论人工智能安全和政策影响的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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63 days old
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mackenzie Jorgensen, Jo Reilly, Alex Sutherland, Miri Zilka ·

    通过混合利益相关者审议界定人工智能在警务中的风险边界

    arXiv:2608.05418v1 Announce Type: new Abstract: AI tools are being increasingly adopted in policing in the UK and worldwide. Racial bias is a known and well-documented risk, yet representatives of affected communities are rarely included in decisions about AI adoption. We present…