Hard to Vary: Why Predictive AI Needs Causal Explanations
中文摘要
预测性人工智能需要因果解释，高置信度评分仅是曲线拟合，不能替代真正的合理解释。
English Summary
Predictive AI requires causal explanations because high confidence scores are mere curve-fitting, not true explanations for its predictions.
原文节选
A 96% confidence score is not an explanation. It is just curve-fitting. Continue reading on Generative AI »