Why machine learning struggles with causality

The article's title suggests an exploration of the limitations of machine learning in understanding and applying causal relationships. This is a significant area of research, as current machine learning models often excel at correlation but struggle with causation. The article likely delves into the technical and philosophical challenges involved.

• •Machine learning models often excel at identifying correlations but struggle with causation.
• •Understanding causality is crucial for tasks like prediction, decision-making, and intervention.
• •The article likely discusses the technical and philosophical challenges of incorporating causality into machine learning.