Algorithms are Black Boxes, That is Why We Need Explainable AI
Artificial Intelligence offers a lot of advantages for organisations by creating better and more efficient organisations, improving customer services with conversational AI and reducing a wide variety of risks in different industries. Although we are only at the beginning of the AI revolution that is upon us, we can already see that artificial intelligence will have a profound effect on our lives. As a result, AI governance and Explainable AI are becoming increasingly important, if we want to reap the benefits of artificial intelligence.
First of all, it is important to distinguish the difference between algorithms and AI. Algorithms are a set of (complex) instructions or rules that a computer needs to follow when solving a certain problem. Artificial intelligence, on the other hand, is a collection of algorithms working together to enable machines to replicate human behaviour. Algorithms form the basis of AI and, hence, we need to have a clear understanding of the underlying algorithms, for which we require the right governance mechanisms.
Data governance and ethics have always been important and a few years ago, I developed ethical guidelines for organisations to follow, if they want to get started with big data. Such ethical guidelines are becoming more important. Especially since algorithms are often biased…
