Book (Practical) Information science Psychology of AI

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Information Science
Learn about the fear of bias hidden in algorithms and apply it to your business! An introduction to "algorithmic bias," which has gained attention as the popularity of deep learning has skyrocketed. Algorithmic bias refers to biased decisions made by computers. Examples of the negative effects of bias include a seemingly irrelevant recommendation made by an online shop, or an account being frozen even though it is not your fault. There are various "biases" that are hard to detect in decisions made by computers (AIs). In this book, you learn about how biases occur, learn about machine learning in general through how to combat biases, and learn how to prevent and manage biases in your systems.