Ethical Machine Learning

Sayak emphasizes the importance of ethical considerations in machine learning, suggesting using simpler solutions before complex models. He underscores the need for engineers to understand and explain their models for both stakeholders and debugging purposes, highlighting techniques like integrated gradients for model explanation and debugging.