Making Wise Decisions In A Smart World: Responsible Leadership In An Era Of Artificial Intelligence (Student Edition)
Regular price
€43.99
14 days return policy
Shipping & Delivery
A01=Peter Verhezen
Artificial Intelligence
Author_Peter Verhezen
Boards
Business
Category=KJD
Cognitive Learning
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Machine Learning
Smart Digitized World
Smarter and Wiser Decisions
Socio-ethical Learning
Top Executives
Uncertainty
Product details
- ISBN 9789811269424
- Publication Date: 24 May 2023
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Paperback
Secure
checkout
Fast Shipping
Easy returns
Good and smart decisions should be distinguished from wise decision-making — especially in the age of artificial intelligence (AI) where algorithms are increasingly used to automate business processes or to augment the accuracy and speed of decisions. This book argues why specific forms of intelligence as well as consciousness and enhanced conscience are crucial to make wise decisions — with consciousness to be clearly distinguished from intelligence. It also addresses why machine learning and smart computers (AI) are plausibly able to make "smart" (and thus to a certain extent "intelligent") decisions but definitely unable to help us to become wiser. In essence, optimizing a desired output in a business context will require a balanced approach with cognitive awareness and ethical reflection — synthesizing intuitive and algorithmic thinking — encompassing short-term profit and longer-term envisioning, and aiming to optimize created and captured value for shareholders while taking the concerns of those who have a real stake in the organization seriously. If business is about creating and sharing value in a future that is both "digital" and "relational", then innovative technologies like AI will play an increasingly important role. Consequently, mindful executives and their responsible boards therefore need to acknowledge the limitations of AI in business — especially when the uncertain future is estimated to be rather volatile or ambiguous than stable.
