相关实验视频

Updated: Feb 24, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

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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机器学习中的性别偏见:来自官方劳动统计和文本分析的见解

Orfeas Menis-Mastromichalakis1, George Filandrianos1, Maria Symeonaki2

  • 1School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece.

Quality & quantity
|February 23, 2026
PubMed
概括

机器学习模型可以放大职业中的性别刻板印象,延续偏见. 本研究引入了一个框架,以识别和解决语言翻译技术中的这些偏见,促进数字包容性.

关键词:
自动翻译偏差自动翻译偏差在EU-LFS中,它是最重要的.性别职业分离性别分离在ISCO-08会议上,机器学习 机器学习

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