• Art Jahnke

    Senior Contributing Editor

    Art Janke

    Art Jahnke began his career at the Real Paper, a Boston area alternative weekly. He has worked as a writer and editor at Boston Magazine, web editorial director at CXO Media, and executive editor in Marketing & Communications at Boston University, where his work was honored with many awards. Profile

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There is 1 comment on Are Computer-Aided Decisions Actually Fair?

  1. First of all, I am very grateful to the contributions of these researchers. In fact, the computer algorithm’s bias in the final decision due to incomplete input data is very common in some applications of machine learning. For example, when we are doing classification, a large number of Class A instances are mixed with a small number of Class B instances, and computer algorithms may treat these small amounts of B as noise and cause some minor biases in the final decision. When we connect many systems together, such as the classification system + prediction system + scoring system, each system will produce some very small biases, but these small biases together may produce very large biases. Just like the example of COMPAS in the article. These biases are very unfair. When I encountered a similar problem before, I might look for particularly good data sets, but such data sets are very difficult to find. So when I saw this article, I was very excited and felt that there was another way to solve this biases. Of course, according to the article, this method is not perfect. Therefore, further research is very necessary.

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