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Updated: Jan 9, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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你的模型是不公平的,你甚至意识到吗? 理解和对可解释性的信任之间的反向关系 偏见的ML模型的可视化可解释性

Zhanna Kaufman, Madeline Endres, Cindy Xiong Bearfield

    IEEE transactions on visualization and computer graphics
    |December 5, 2025
    PubMed
    概括

    机器学习 (ML) 的可解释性可视化可以悖论地通过增加感知偏差来减少信任. 提高模型公平性或调整可视化可以增强信任,即使理解能力很高.

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