Titlebook: Understand, Manage, and Prevent Algorithmic Bias; A Guide for Business Tobias Baer Book 2019 Tobias Baer 2019 algorithmic bias.decision bia

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How Algorithms Debias Decisionsin how an algorithm works. More specifically, I will show how a . algorithm works and how it thereby can . human bias; in later chapters you then can understand more easily how algorithms can go awry (i.e., show bias)—and what the different options are for addressing this problem.

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躺下殘殺

Algorithmic Biases and Social Mediathe various biases discussed so far can interact and reinforce each other, and it illustrates how algorithmic bias can be dynamic. Rather than set in stone, the bias can develop and grow over time out of an interaction between user and algorithm—the biases of both reinforce each other until the result can be a discomfortingly strong distortion.

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Assessing the Risk of Algorithmic Biasn many situations, algorithms make better decisions than alternative approaches: they make less errors (especially because human decisions often are even more biased) and can be both faster and cheaper. Introducing an algorithm to make decisions may come at the price of new biases, however.

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How to Use Algorithms Safelyher approaches (such as even more biased humans). This situation can be compared to a life-saving medicine with serious side-effects. Just as the doctor will try to find ways to alleviate the side-effects of a medication, in this chapter we will discuss what steps you can take to protect yourself from algorithmic bias.

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How to Detect Algorithmic Biasesers showing up in some report. Even if no bad intentions are involved, a poorly calculated or interpreted number can seriously mislead you. This chapter is a comprehensive review of how best to monitor algorithms for biases from a user’s perspective.

壕溝

Biases Introduced by the Algorithm Itselfst specific profiles of instances. Much of this can be considered noise, but every once in a while, such an algorithmic bias can be magnified, reinforced, or even whipped up by the context of how the algorithm is used, in which case the effect of such an algorithmic bias might grow out of proportion.

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槍支

Bias in Human Decision-Makingtanding algorithmic biases is therefore to understand human biases. And while colloquially "bias" is often deemed to be a bad thing that considerate, well-meaning people would eschew, it actually is central to the way the human brain works. The reason is that nature needs to solve for three competin