AI Tools in a Machine-Learning Workflow

This lecture establishes the norms for using generative AI tools throughout the course. We discuss where AI tools help (debugging, boilerplate, explanation) and where they fail silently (statistical reasoning, data-specific judgment). You’ll see concrete examples of prompts that work and prompts that produce subtly wrong output, including a common cross-validation leakage pattern. The AI-use documentation template for your project report is introduced.