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Abstract
Our research in progress seeks to understand: under what conditions will human experts collaborate most effectively with creative AI (Amabile 2020). In order to address this challenge, we turn our attention to the creative use of AI evidenced in the creative industries, a sector where some of the most interesting uses of AI are currently being explored (Boden 2009, Bell 2021). More specifically, we investigate the case of Uncanny Valley, an Australian music production team who won the AI Eurovision Song Contest in 2020, and ask: How do artists work with AI/creative machines? What is the role of trust in their collaboration? What are the best practices in human-AI collaborations evidenced in the creative industries that could be applied to innovation management? Our findings aim to bring knowledge of creative AI in the creative industries in closer conversation with innovation management practice and scholarship.
Keywords: creative AI; creative machines; artificial intelligence; creativity; creative industries; human-machine collaboration; human-AI collaboration; innovation management; trust.
1Introduction
Over the past decade, organisations have turned to artificial intelligence at an increasing rate as a means to achieve competitive advantage by generating knowledge and ideas that would eventually lead to new products, processes and business models. However the current capabilities and potential of AI for innovation managers and practitioners is far from evident. In innovation management, AI is predominantly used for automation and analytics. We don't yet fully understand how it might contribute to the innovation process in a creative capacity, especially in generating novel ideas. Our paper turns attention away from the process driven aspects of AI that are familiar to innovation managers toward its creative potential for innovation.
In a recent paper, Teresa Amabile (2020) notes that there are no existing theories of creativity for organisations that address AI. Taking cues from scholars recently discussing AI (Amabile 2020, Anantrasirichai and Bull 2020, Bell 2021, Wilson and Daugherty 2018), interesting uses of AI have not necessarily been in traditional commercial enterprises but have been seen in the arts and the creative sector. Drawing on work discussing creativity and AI that has been mostly overlooked in innovation management literature, including the work of cognitive science and informatics professor Margaret Boden (2009), we focus on the use of creative computer models...