AI for Creativity  book cover
1st Edition

AI for Creativity

  • Available for pre-order. Item will ship after September 24, 2021
ISBN 9781032047751
September 24, 2021 Forthcoming by CRC Press
112 Pages 3 B/W Illustrations

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Book Description

What is computational creativity? Can AI learn to be creative?

One of the human mind’s most valuable feature is the capacity to formulate creative thoughts, an ability that through quantum leap innovations has propelled us to the current digital age. However, creative breakthroughs are easier said than done, appearing less frequent and more sporadic than desired, it seems that we have not yet fully cracked the creative code. But with the rapid advances in artificial intelligence which have come to provide an ever closer proximity with the cognitive faculties of mankind, can this emerging technology improve our creative capabilities? What will that look like and will it be the missing link in the man-machine enigma? AI for Creativity provides a fascinating read of what is currently emerging in the very cutting edge area of artificial intelligence and the tools being developed to enable computational creativity that hold the propensity to dramatically change our lives.

Table of Contents


The Creative Process

The Creative Enigma

Perspectives on Creativity

Computational Creativity






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Niklas Hageback is a seasoned project manager and change leader with an expertise in agile methodologies and innovation management. He has held regional executive man­agement and project oversight roles at leading banks, including Credit Suisse, Deutsche Bank, and Goldman Sachs, in both Asia and Europe, where he was in charge of a number of complex regionwide digital trans­formation and risk management initiatives. More recently, he has done extensive work in artificial intelligence, notably machine learning, lead­ing the development of automated human reasoning and computational creativity applications.

He is a published author with bestsellers including The Virtual Mind: Designing the Logic to Approximate Human Thinking (2017), AI for Digital Warfare (2021) and AI for Arts (2021). He has also published a number of research papers in AI and finance.