Boek AIX: Artificial Intelligence needs eXplanation (Engels)

Most companies today have huge amounts of data available that offer great potential to improve human decision making. However, the available technology is not transparent, the resulting decisions may be biased, and people question the ethics of artificial intelligence. This book introduces effective implementation.

The author provides convincing arguments and practical guidance for both business managers and specialists to take ownership of the intelligence that is required to design effective decision support systems. This easy to read and illustrated book includes examples that will demystify AI technology and enable you to engage in meaningful conversations on how to apply AI in your organization.

“Spreeuwenberg does a masterful job in illustrating why explainable AI is paramount for busienss profits and society and can be accomplished through her six step process. Truth and trust in artificial intelligence is critical for successful solutions, and now we have the framework on how to do it!” – Neil Sahota, IBM Master Inventor, United Nations (UN) Artificial Intelligence (AI) subject matter expert, and Professor at UC Irvine

“Artificial Intelligence is in the hart of the Digital Transition of our Global Society. It is therefore crucial that anyone offering or developing AI can be held accountable. This book makes a great case for one of the key principles that AI needs to be explainable. Only then can one trust the technology and avoid discrimination” – Frits Bussemaker, chair Institute for Accountability in the Digital Age