A Framework for Understanding Unintended Consequences of Machine Learning

As machine learning increasingly affects people and society, it is important
that we strive for a comprehensive and unified understanding of potential
sources of unwanted consequences. For instance, downstream harms to particular
groups are often blamed o… Read more

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