AI in the media and creative industries

Thanks to the Big Data revolution and increasing computing capacities,\nArtificial Intelligence (AI) has made an impressive revival over the past few\nyears and is now omnipresent in both research and industry. The creative\nsectors have always been early adopters of AI technologies and this continues\nto be the case. As a matter of fact, recent technological developments keep\npushing the boundaries of intelligent systems in creative applications: the\ncritically acclaimed movie "Sunspring", released in 2016, was entirely written\nby AI technology, and the first-ever Music Album, called "Hello World",\nproduced using AI has been released this year. Simultaneously, the exploratory\nnature of the creative process is raising important technical challenges for AI\nsuch as the ability for AI-powered techniques to be accurate under limited data\nresources, as opposed to the conventional "Big Data" approach, or the ability\nto process, analyse and match data from multiple modalities (text, sound,\nimages, etc.) at the same time. The purpose of this white paper is to\nunderstand future technological advances in AI and their growing impact on\ncreative industries. This paper addresses the following questions: Where does\nAI operate in creative Industries? What is its operative role? How will AI\ntransform creative industries in the next ten years? This white paper aims to\nprovide a realistic perspective of the scope of AI actions in creative\nindustries, proposes a vision of how this technology could contribute to\nresearch and development works in such context, and identifies research and\ndevelopment challenges.\n