Human biases are even harder to calculate using Python code. There is no Python or other language library for computing a numeric score for human bias in a dataset. We rely on observation to spot such human biases. It is time-consuming to manually study a particular dataset before deriving possible human biases. We could argue that it is not a programmer’s or data scientist’s job because there is no programable method to follow.
Human biases reflect systematic errors in human thought. In other words, when you develop an AI system, you are limited by the algorithm and data chosen by you. Thus, the prediction of a limited outcome could be biased by your selections. These prejudices are implicit in individuals, groups, institutions, businesses, education, and government.
There is a wide variety of human biases. Cognitive and perceptual biases show themselves in all domains and are not unique to human interactions with AI. There is an entire field of study...