What AI cannot do for students

AI can generate code, but several parts of statistics still require human judgment:

• Problem framing: deciding what question should be asked and what kind of study or model is appropriate
• Ethical reasoning: identifying bias, fairness issues, and the consequences of analytical choices
• Interpretation: deciding whether results are practically meaningful, not just statistically significant
• Communication and accountability: explaining findings clearly and taking responsibility for the conclusions

These are human responsibilities, and they become more important, not less, in an AI-enabled world.

Adapted from Python for Introductory Statistics, by Simon Aman (Truman College, City Colleges of Chicago), licensed under CC BY 4.0. Changes were made: reformatted as an accessible XYZ web edition with live in-browser code cells. License: CC-BY-4.0.