Recommendation systems

Considering Bias & Cognitive Systems

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When we examine the differences between humans and cognitive systems, we often point to lack of bias in automated systems vs. the unavoidable biases that humans bring to making judgments. But is that really true? The fact is that every time we select a training set, write an algorithm or design a ranking scheme, we are building in our biases of how the world is ordered, and what is more or less important in any category. We build in relationships ...

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Legal Issues: Can we depend on algorithms to make decisions?

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In the cognitive computing era, there are plenty of tough technical challenges. Their difficulty pales, however, when compared to the social and legal issues these new technologies raise. Increasingly, we rely on algorithms to help us sort through the complex factors that lead to making a decision. Often this reliance is not based on knowing whether the algorithm is dependable. Articles by Julia Angwin in the New York Times and ProPublica on Aug. 1st celebrate a decision by the Wisconsin ...

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