Only, it was a deepfake. So was the video of Donald Trump taunting Belgium for remaining in the Paris climate agreement and Barack Obama's public service announcement as posted by Buzzfeed. These great examples of deepfakes are the 21st Century's answer to Photoshopped images and videos. Synthetic media, deepfakes, use artificial intelligence (AI) -- deep learning technology, to replace an existing person in an image or video with someone else. One reason for the widespread use of deepfake technology in popular celebrities is that these personalities have a large number of pictures available on the internet, allowing AI to train and learn from.
The entertainment industry has yet to regulate the use of deepfakes and voice cloning. On September 29, the Emmy for interactive documentary went to'In Event of Moon Disaster', a film that uses artificial intelligence (AI) to create a fake video featuring former US President Richard Nixon. The film shows him delivering a speech that was prepared in case the Apollo 11 mission failed, leaving astronauts Neil Armstrong and Buzz Aldrin to die on the moon. The multimedia project was created by the Massachusetts Institute of Technology's Center for Advanced Virtuality, with a bit of help from a Ukrainian voice-cloning startup, Respeecher, which worked on Nixon's voice. The increasing scale of AI is raising the stakes for major ethical questions.
When Peter Cushing turned to face the camera in Rogue One, Star Wars fans were as excited as they were confused. After all, the actor had died more than 20 years earlier, and yet, there was no mistaking him. For a major Hollywood movie, this is a clever trick. But not everyone is trying to entertain us, and you don't need a million-dollar budget to deceive. "You take the face of one person and put it on the body of another," said Jeff Smith, associate director at the National Center for Media Forensics at the University of Colorado Denver.
Amato, Giuseppe, Behrmann, Malte, Bimbot, Frédéric, Caramiaux, Baptiste, Falchi, Fabrizio, Garcia, Ander, Geurts, Joost, Gibert, Jaume, Gravier, Guillaume, Holken, Hadmut, Koenitz, Hartmut, Lefebvre, Sylvain, Liutkus, Antoine, Lotte, Fabien, Perkis, Andrew, Redondo, Rafael, Turrin, Enrico, Vieville, Thierry, Vincent, Emmanuel
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.