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Daily Dashboard | A privacy pro's guide to explainability in machine learning models Related reading: Thinking through ACL-aware data processing




With the EU General Data Protection Regulation just around the corner, there has been some debate and discussion about whether the law requires a "right to an explanation" from machine learning models. "Regardless of the regulation's effects on machine learning, however, the practical implications of attempting to explain machine learning models presents significant difficulties," Immuta Legal Engineer Stuart Shirrell writes. "These difficulties will become an increasing focus for privacy professionals as machine learning is deployed more and more throughout organizations in the future." In this post for Privacy Tech, Shirrell offers a short guide to help privacy pros "tackle these complex issues and to understand what is and isn't possible when seeking to open up the so-called 'black box' of machine learning models."
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