Title:The Impact of Artificial Intelligence on the Entertainment Industry

Artificial Intelligence is a cardinal part of contemporary conflicts. As opposed to the conventional system, AI is more efficient and systemized. AI is being incorporated by multiple industries to streamline their affairs. Additionally, AI also enhances self-regulation and self-actuation due to its intrinsic decision-making capabilities. Speaking of AI’s increased integration in various new spheres, the Entertainment industry is something which has a whole lot planned for the absorption of AI.

Ever since its arrival, AI has had a major impact on the industry. Computers are constantly replacing time-consuming and mundane tasks so that the crew can pay undivided attention to high-priority tasks. The impact of AI has already been seen in semi-autonomous game characters and Computer-Generated Imagery (CGI). These things are improving at a dramatic rate for ultimate consumer satisfaction and it's only going forward. Speaking of the introduction of AI characters in the cinema, the first-ever character introduced was almost a century ago, in German expressionist filmMetropolis. The AI here takes the form of a humanoid robot with the intent of taking over the titular mega-city by instigating chaos. After that, the appearance of AI in American cinema was in 1951 in the form ofGort, a friendly robot in the film The Day the Earth Stood Still. Honourable mention toStar Wars and Star Trek: The Motion Picture for showing us the fun and useful sides of AI with droids and robots.

Hollywood is beginning torecast artificial intelligence from being the lead character in movies to becoming the leading technology driving the industry.  The digital system is enhancing the work of the human imagination and giving artists, filmmakers, and other creative minds the tools to uncover new ways of thinking and problem-solving. When crafting a screenplay, writers can add AI to their team to get an idea of how they should approach certain themes that best resonate with audiences.

The ability to find entertainment options that you really enjoy will be greatly influenced. Already, there are fairly decent “recommendation engines” for books, movies, TV shows and music. These will get much better because of machine learning's (finding patterns in what you and other people choose and review) ability to have a real dialogue with the recommendation engine, which will gradually understand and create your persona based on your likes and dislikes.

Recently, 20th Century Fox has partnered with IBM Research to develop the first-ever “cognitive movie trailer” for its upcoming suspense/horror film, Morgan. Fox wanted to explore the usage of artificial intelligence (AI) to create a horror movie trailer that would keep audiences on the edge of their seats. I asked five people what’s the scariest film they have ever seen and they all had different answers. People are very subjective about horror movies. Therefore, Watson, an IBM supercomputer has researched the intricacies and interrelation of viewer’s patterns was able to create a compelling movie trailer.

Another recent display of the power of Artificial Intelligence as a tool for film-making was theAvengers: Infinity Warmovie. With the help of AI, they were able to map every wrinkle, every detail on the actor Josh Brolin’s face and they subjected the same features on to Thanos’s face. Earlier, anything close to this took weeks to do but with the help of motion capture technology, the same can be done in way lesser time.

(Source: https://www.instagram.com/joshbrolin/)

Aside from making real people into computer-generated characters, AI can also make look-alikes of real people called Virtual Actors. A great example of the same is hit AMC show The Walking Deadwhich follows the life of a few individuals in the aftermath of apocalypse where most of the humankind has turned into human flesh-eating walkers and it is not possible to have 200-300 extras every time, they would want to shoot such scenes where a large horde of walkers is attacking the survivors. In such a case, they resort for generation of virtual actors and no one can tell if there’s a difference.

Most Hollywood actors have themselves 3D modelled so that they could still appear in movies.It is believed that in future artificially intelligent computer systems will soon be able to watch an actor's film history and copy not only their appearance but their mannerisms and voice. It would be an advancement that would allow them to act in rolls even after the actor has passed away.  We’ve seen computer-generated versions of actors appear postmortem recently in the case of Peter Cushing in his role as Grand Moff Tarkin in Star Wars, so there is already precedent.

Another huge advancement is AI deciding if the film should be made at all! An artificial intelligence called Scriptbook currently claims to have predicted that it would not have recommended the production of 22 of Sony Pictures’ biggest flops in the last three years. If systems like these are incorporated, the movie industry could potentially save billions of dollars a year. What could be better for fans than going to the movies and knowing you will definitely have a good time and also optimum use of resources will be encouraged. Only bad thing though is most of Bollywood scripts will be chucked by the software (LOL). Vault MLuses AI to predict opening weekend revenues at the box office. Similarly, Pilot Moviesuses AI in SaaS platform to allow film-makers to predict gross sales revenues long-term. Qloo has AI database used to create millions of movie viewer profiles to aid in targeted marketing and creative efforts.

When it comes to the impact of AI in Hollywood, the future looks good for the industry. It is shaping up to be a phenomenal accelerator to the movie-making process. Time-saving programs and real-time rendering are just the beginning. As machine learning slowly starts to infiltrate various other areas of our lives, leisure time is likely to increase, meaning that filmmakers will need to start working a whole lot harder and producing a lot more content in order to engage the audience.

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