This document discusses technological surrogacy and predictive powers. It notes that algorithmic analytics can act as an expanded form of cognitive surrogacy, augmentation, assistance and support through data processing and algorithmic knowledge representation. However, this can also reinforce bias. The document also discusses grappling with complex challenges when employing algorithms, including issues like machine vision obstruction, weather degradation and payload sensitivity. It argues that predictive power comes with ethical duties to control for algorithmic bias through quality control and human oversight. The document stresses the importance of transparency around the data and algorithms used to help ensure explainable algorithms.
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