Antonio Ferrara 的一篇新论文探讨了当前算法公平范式的局限性。文章认为，依赖确定性点估计进行审计以及将个体视为孤立实体是根本性的弱点。该研究提出了统计和结构化方法来解决复杂社会技术系统中的这些问题。 AI
影响 解决了衡量和实施机器学习系统公平性的基本局限性。
排序理由 该集群包含一篇在 arXiv 上提交的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2606.26200v1 Announce Type: cross Abstract: Modern machine learning systems have outgrown their origins as isolated predictive constructs, evolving into complex socio-technical architectures that actively mediate human opportunity. As algorithms increasingly determine acces…
Modern machine learning systems have outgrown their origins as isolated predictive constructs, evolving into complex socio-technical architectures that actively mediate human opportunity. As algorithms increasingly determine access to economic and social opportunities, it has bec…