Artificial Intelligence (AI) is getting more and more involved in our daily lives, often without us even noticing or being aware of its presence. It may come hidden in intelligent smartphone cameras, it may influence us while shopping or it may even decide whether we get hired by a company or not. In order for an AI to function as one, it has to be trained on data before it can actually act intelligently. It may behave in odd, unexpected ways, but one has to remember: Maybe the situation is completely new and it simply has not learned the correct behavior yet. Humans have to constantly learn over their lives, an AI is trained only on a very limited set of data and thus may develop a completely different and biased view. Which reasons are there to cause such bias, what influences it and how can we attempt to reduce the bias? Based on real world examples, this talk sheds some light on bias in AI and how to overcome it when developing AI solutions.