Making predictions and good decisions is difficult. Huge amounts of data are available, and it promises a new source for knowledge to improve human decision making. However, the available technology is not transparent, the resulting decisions may be biased, and people question the ethics of AI. This book offers the solution: explainable (XAI) AI. It provides 5 reasons why explainable AI is more successful and six steps to start successfully applying XAI.In AIX, an acknowledged expert in the field of AI provides practical guidance and convincing arguments for responsible business managers to take ownership of the intelligence required to design effective decision support systems. Easy to read, using many examples and by demystifying AI technology this book will replace fear for AI with a simple and responsible strategy. Insightful for managers and specialists.

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Articles li�s � AIX: Artificial Intelligence needs eXplanation: Why...

AIX: Artificial Intelligence needs eXplanation: Why and how transparancy increases the success of AI solutions

Hiroi, Kumi

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