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"AI公平性" 相关文章
含近 2000 名参与者图像,索尼新数据集可检验 AI 模型是否公平对待不同人群
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Detecting Prefix Bias in LLM-based Reward Models
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From Ethical Declarations to Provable Independence: An Ontology-Driven Optimal-Transport Framework for Certifiably Fair AI Systems
cs.AI updates on arXiv.org 2025-10-10T04:08:17.000000Z
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Co-Producing AI: Toward an Augmented, Participatory Lifecycle
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Algorithmic Fairness: A Runtime Perspective
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Beyond Internal Data: Constructing Complete Datasets for Fairness Testing
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Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness
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ICML 2025 | Parrot:通过多语言视觉指令微调,让AI说地道多国语言
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Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456
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