Publication | Open Access
AI in the media and creative industries
20
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2019
Year
Artificial IntelligenceMusicEngineeringMedia InnovationIntelligent SystemsMedia IndustriesCreative ProcessMedia StudiesJournalismCreative IndustriesAi ArchitectureData ScienceCreativityCreative TechnologyGenerative Artificial IntelligenceAlgorithmic CultureComputational CreativityInnovationTechnologyIndustrial Artificial IntelligenceMedia ProductionCreative IndustryArtsCreative Computing
Artificial Intelligence has resurged with growing computing power, becoming ubiquitous in research and industry, and the creative sectors—already early adopters—continue to push its limits with AI‑generated films and music, while the field faces challenges of limited data and multimodal integration. This white paper seeks to chart future AI advances and their expanding influence on creative industries, examining where AI operates, its functional role, and how it will reshape the sector over the next decade. It offers a realistic assessment of AI’s current scope in creative work, proposes a vision for its contribution to research and development, and outlines key research and development challenges.
Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in both research and industry. The creative sectors have always been early adopters of AI technologies and this continues to be the case. As a matter of fact, recent technological developments keep pushing the boundaries of intelligent systems in creative applications: the critically acclaimed movie "Sunspring", released in 2016, was entirely written by AI technology, and the first-ever Music Album, called "Hello World", produced using AI has been released this year. Simultaneously, the exploratory nature of the creative process is raising important technical challenges for AI such as the ability for AI-powered techniques to be accurate under limited data resources, as opposed to the conventional "Big Data" approach, or the ability to process, analyse and match data from multiple modalities (text, sound, images, etc.) at the same time. The purpose of this white paper is to understand future technological advances in AI and their growing impact on creative industries. This paper addresses the following questions: Where does AI operate in creative Industries? What is its operative role? How will AI transform creative industries in the next ten years? This white paper aims to provide a realistic perspective of the scope of AI actions in creative industries, proposes a vision of how this technology could contribute to research and development works in such context, and identifies research and development challenges.