Artificial intelligence in the creative industries: a review

Abstract This paper reviews the current state of the art in artificial intelligence (AI) technologies and applications in the context of the creative industries. The potential of AI (or its developers) to win awards for its original creations in competition with human creatives is also limited, based on contemporary technologies.

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• 1 A brief background of AI, and specifically machine learning (ML) algorithms, is provided including convolutional neural networks (CNNs), generative adversarial networks (GANs), recurrent neural networks (RNNs) and deep Reinforcement Learning (DRL).
• 2 We categorize creative applications into five groups, related to how AI technologies are used: (i) content creation, (ii) information analysis, (iii) content enhancement and post production workflows, (iv) information extraction and enhancement, and (v) data compression.
• 3 We critically examine the successes and limitations of this rapidly advancing technology in each of these areas.

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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