The Measurement Minute by Gary Angel 
  
You can’t use a protected variable in a model and you shouldn’t use a proxy for it either. But how do you decide what’s a proxy and what isn’t given that age, race and gender are massively correlated to a wide range of likely predictive variables? The answer lies in a generally useful concept in data science: screening off.

The Measurement Minute by Gary Angel You can’t use a protected variable in a model and you shouldn’t use a proxy for it either. But how do you decide what’s a proxy and what isn’t given that age, race and gender are massively correlated to a wide range of likely predictive variables? The answer lies in a generally useful concept in data science: screening off.

The Measurement Minute by Gary Angel 
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You can’t use a protected variable in a model and you shouldn’t use a proxy for it either. But how do you decide what’s a proxy and what isn’t given that age, race and gender are massively correlated to a wide range of likely predictive variables? The answer lies in a generally useful concept in data science: screening off. 
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Screening Off – The right answer for thinking about model bias

Short (about 1 Minute) microcasts highlighting issues in analytics and enterprise measurement

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Screening Off – The right answer for thinking about model bias

Screening Off – The right answer for thinking about model bias