AI 可解释性与公平性

介绍

• python - Shap value dimensions are different for RandomForest and XGB whyhow Is there something one can do about this - Stack Overflow

浏览器收藏

• apachecn/ailearning: AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
• notebookd4165e08d7
• HanXinzi-AI/moc-python-machine-learning-resources: a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合
• 3.4: Calculating Power- Banzhaf Power Index - Mathematics LibreTexts

浏览器收藏 - 大论文相关

• Frontiers | Artificial Neural Networks (ANNs) as a Novel Modeling Technique in Tribology
• LingfengZhang98/EIDIG: Source code, datasets and models of the paper “Efficient White-box Fairness Testing through Gradient Search” by Lingfeng Zhang, Yueling Zhang, Min Zhang in ISSTA’21.
• Default of Credit Card Clients Dataset
• Explore Fairness Metrics for Credit Scoring Model

公平性

• 人工智能安全笔记（7）人工智能公平性 - 知乎
• Fairness (machine learning) - Wikipedia
• 深度学习模型中的公平性研究
• 深度学习模型中的公平性研究
• 机器学习公平性：从无知到因果公平的全面解析-CSDN博客
• 更改标签 公平性 - Google 學術搜尋
• chenzhenpeng18/ICSE24-Multi-Attribute-Fairness

数据集

• Bank Marketing Dataset