Three Risks in Building Machine Learning Systems

Machine learning (ML) systems promise disruptive capabilities in multiple industries. Building ML systems can be complicated and challenging, however, especially since best practices in the nascent field of AI engineering are still coalescing. Consequentl… Read more

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Machine Learning for Phrenology

In November of 2016, engineering researchers Xiaolin Wu and Xi Zhang posted an article entitled “Automated Inference on Criminality using Face Images” to a widely used online repository of research papers known as the arXiv. In their article, Wu and Zhan... (more…)

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