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IAPP · AIGP

Data, training, and testing

AIGP · Lesson 11 of 15 · 1:31:32

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In this lesson

Prepare for the IAPP AIGP exam, on the AIGP Body of Knowledge version 2.1. In this lesson: requirements for training and testing data (lawful rights, quality and integrity, quantity, fitness for purpose), provenance, lineage, and data sheets, testing at every level (unit, integration, validation and performance, security, bias, interpretability), pitfalls like overfitting, data leakage, and proxy variables, and documenting training and testing so that results can be reproduced. Includes three original practice questions, with Elmstead Group, a fictional retail and finance group, as the example.

Preview the topics
  • Elmstead buys a data set of consumer spending from a data broker, to train its payment model. What should governance check first about this data?
  • Elmstead’s model meets all its accuracy thresholds. Nobody has checked whether its error rates differ between age groups. What should happen before release?
  • In testing, Elmstead’s model reaches 98% accuracy, far more than any similar model. One input was recorded after customers had already missed a payment. What happened?