Can AI Write Trustworthy Code? A Study of ChatGPT for Causal Inference in Python, R, and Stata
By
JUNIOR JUMBONG
Pulled from the oven just right. Trustworthy, fact-dense, deeply satisfying.
Summary
This article examines the growing use of AI tools like ChatGPT for code generation, particularly in data science and research contexts. It explores the critical distinction between using AI for simple helper functions versus complex tasks like causal inference and econometric methods. The piece draws on a recent study evaluating ChatGPT's performance with Python, R, and Stata for causal inference coding, raising important questions about trust, reliability, and the limitations of AI-assisted coding in rigorous analytical work.
Key quotes
· 3 pulledThe question is no longer whether AI can write code, but whether we can trust the code it writes.
There is a major difference between asking ChatGPT to write a small helper function and asking it to implement a complex econometric method.
What a recent study on ChatGPT, Python, R, and Stata tells us about AI-assisted coding for causal inference
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