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The Silent Failures in Agentic Data Science

Source
arxiv.org
Author
Xue Li, Hongqian Xia, Daniel Gomm, A\'ecio Santos, Cornelius Wolff, Madelon Hulsebos
Date
Why it matters

Accuracy-only hide data leakage and invalid validation in data science agents. The released test suite lets you check for these specific failures before trusting output.

Terms in this piece · Glossary
  • eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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