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Back to the lesson libraryMECHANISM · 14 MIN
M33.1 CONNECT THE MECHANISM

Choose a useful problem before choosing a model

The board wants "an AI chatbot." A front desk log, a homepage banner, and one line of arithmetic decide whether the library should build one.

LESSON OVERVIEW14 min lesson

Lesson overview

The board wants "an AI chatbot." A front desk log, a homepage banner, and one line of arithmetic decide whether the library should build one.

What you’ll explore

  • Frame an AI product from the user's problem, compare it with a non-AI baseline, set success metrics, guardrails, and constraints, and estimate its value after the cost of errors.
GO TO THE SOURCE

Original explanations, connected to the research.

Rules of Machine Learning (Martin Zinkevich, Google)Guidelines for Human-AI Interaction (Amershi et al., CHI 2019)Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing (Kohavi, Tang & Xu, 2020)
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