What Every CEO Should Know About AI (Elements in Business Strategy)
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Language: English
Published by Cambridge University Press, 2022
- Softcover
- New

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- Title
- What Every CEO Should Know About AI (Elements in Business Strategy)
- Author
- Dörfler, Viktor
- Publisher
- Cambridge University Press
- Publication year
- 2022
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 100901692X
- ISBN 13
- 9781009016926
Dr Viktor Dörfler combines his background in developing and implementing AI with scholarly research on mastery and cultivating talent to address misconceptions about AI. The Element explains what AI can and cannot do, carefully delineating facts from beliefs or wishful thinking. Filled with examples, this practical Element is thought-provoking. The purpose is to help CEOs figure out how to make the best use of AI, suggesting how to extract AI's greatest value through appropriate task allocation between human experts and AI. The author challenges the attribution of characteristics like understanding, thinking, and creativity to AI, supporting his argument with the ideas of the finest AI philosophers. He also discusses in depth one of the most sensitive AI-related topics: ethics. The readers are encouraged to make up their own minds about AI and draw their own conclusions rather than accepting opinions from people with vested interests or an agenda.
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About the Author
Dr Viktor Dörfler is a scholar, consultant, teacher, and speaker. Dr Dörfler's scholarly research into knowledge and learning focuses on intuition, creativity, talent, and the grandmaster-apprentice relationship. He conducted in-depth open-ended interviews with 20 top scientists, including 17 Nobel Laureates, in order to understand the thinking and learning of those at the highest level of mastery. 1999-2004 Dr Dörfler spearheaded the development of AI software; underlined by his applied research producing new algorithms, comparing various AI solutions, and exploring the validity of AI. In his consultancy work Dr Dörfler advises on AI implementation to support complex decisions through modelling expert knowledge and on fostering grandmaster-apprentice relationships to improve organizational learning.
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