Defining bias versus discrimination

Let's start by making sure we have a clear understanding of the two components in the context of AI – bias and discrimination. There are different aspects to each of these components and it's important to understand the difference between them.

Bias in AI/ML

AI/ML bias is when models that have been created show favor toward certain groups or categories that doesn't reflect the actual state of the world.

Bias is inevitable in any model and in itself can be harmless. Let's say you are going to author a paper about the most popular foods and do some analysis on them. To do so, you collect data from your friends and family as to their preferences. In addition to this, think about the three foods that you would reply with. Are there any vegetables in there? Any Ethiopian foods? Anything from Turkey? Perhaps not.

This is a form of bias; unless you take a perfectly even sample size of people across the world, you are...