How the machine ‘thinks’: Understanding opacity in machine learning algorithms

Short summary

This article distinguishes three forms of opacity in machine learning algorithms used for classification and ranking: corporate/state secrecy, technical illiteracy, and inherent algorithmic opacity. It argues that identifying the specific type of opacity is crucial for selecting appropriate solutions to prevent harm.

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