Avoiding Deep Learning AI Bias Part 1

#artificialintelligence 

We tend to think of machine and deep learning AI as consistent, logical, and unwavering, but surprisingly, that isn't always the case. Bias is the source of many AI failures. So why, and how, does bias happen in AI models? The simple answer is that bias exists in these models because they're created by humans. Let's take a look at three types of AI bias that can plague AI models – sample bias, measurement bias, and prejudice bias – and how developers can eliminate these biases with more thorough AI model training.