Beyond mimicry: Can AI exhibit creativity? Artwork

TudoRama

TudoRama explores the nature and practice of creativity in the arts, sciences, politics and above all in everyday life. Tudor Rickards is Emeritus Professor of Creativity and Organizational Change at the University of Manchester. Tudor studied chemistry and radiation chemistry at The University of Wales at Cardiff. Following post-doctoral research at New York Medical College, he returned to the UK to work in technical management before joining Manchester Business School. He has published numerous books and articles on creativity, sporting management and leadership, as well as fictional works involving the mythical University of Urmston. He has been influential in the development of creativity-related projects in Europe, including the European Association for Creativity and Innovation (EACI), and was co-founder (with Susan Moger) of the journal Creativity and Innovation Management. He is also author of detective stories centred around the fictional University of Urmston, and a nearby chess club which houses a top-secret government surveillance operation. His recent switch to podcasting reaches out to a wider general audience interested in current affairs, and the processes of creativity previously described in his lectures, blogposts, and textbooks.

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Beyond mimicry: Can AI exhibit creativity?

February 17, 2025 • Tudor Rickards

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The question was posed by a team of creativity researchers as the AI revolution of 2023-4 was in full swing. AI was setting new questions about the nature of work, and the capacity of computers to replace humans

Ref

Marrone, R., Cropley, D., & Medeiros, K. (2024). How Does Narrow AI Impact Human Creativity? Creativity Research Journal, 1–11.

Writing in a leading creativity research journal, they pose their research question as ‘How Does Narrow AI Impact Human Creativity?’

To carry out their study the researchers first address the issues of defining creativity and AI.

Their examination of attempts to define creativity draw on the research outlined in this chapter.

They summarise the definition issue as having been ‘dogged by definitional confusion’ particularly among ‘non experts’, including work in the emerging field of computational creativity.

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