Exploratory Models

topic on 1 show · 2 statements across 1 episodes

the MAD Podcast

2 statements about Exploratory Models, every show

MAD Insight
Wallach: Bias in exploratory models distorts subsequent predictive models
“As a result, the models used to perform these previous analyses and any kind of bias or unfairness in them will necessarily influence the resultant findings, and hence the representations that we then choose to use in our predictive models.”
Hanna Wallach Jan 15, 2015 ▶ 13:12 Hanna Wallach, Microsoft Research // Data Driven #33 // Jan 2015 (Hosted by FirstMark Capital)
MAD Assertion Supported
Wallach: ML fairness research overwhelmingly focuses on predictive over exploratory models
“So much of the existing work on fairness and transparency in machine learning, not that there's very much of it, focuses on predictive models rather than models for exploratory or explanatory analyses”
Hanna Wallach Jan 15, 2015 ▶ 12:22 Hanna Wallach, Microsoft Research // Data Driven #33 // Jan 2015 (Hosted by FirstMark Capital)

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