Exploring the types of bias
Bias can be described as a natural tendency or inclination toward a specific viewpoint, opinion, or belief system, regardless of whether it is treated as positive, neutral, or negative. AI bias, on the other hand, specifically occurs when mathematical models perpetuate the biases embedded by their creators or underlying data. Be aware that not all information is treated as biases, as some information can also be knowledge. Bias is a type of subjective information, and knowledge refers to factual information, understanding, or awareness acquired through learning, experience, or research. In other words, knowledge is the truth without bias.
Note
Do not confuse bias in this book with the bias from the infamous “bias versus variance” concept in machine learning. Bias in this concept refers to the specific bias on how simple a machine learning model is concerning a certain task to learn. For completeness, variance specifies the sensitivity...