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Open AccessSeparating facts and evaluation: motivation, account, and learnings from a novel approach to evaluating the human impacts of machine learning
In this paper, we outline a new method for evaluating the human impact of machine-learning (ML) applications. In partnership with Underwriters Laboratories Inc., we have developed a framework to evaluate the i...
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Opportunism and Learning
There is a tension in the world between complexity and simplicity. On one hand, we are faced with a richness of environment and experience that is at times overwhelming. On the other, we seem to be able to cop...