Summary of “Hollywood is quietly using AI to help decide which movies to make”

The company licenses historical data about movie performances over the years, then cross-references it with information about films’ themes and key talent, using machine learning to tease out hidden patterns in the data.
Cinelytic isn’t the only company hoping to apply AI to the business of film.
Last November, 20th Century Fox explained how it used AI to detect objects and scenes within a trailer and then predict which “Micro-segment” of an audience would find the film most appealing.
An academic paper published on this topic in 2016 similarly claimed that reliable predictions about a movie’s profitability can be made using basic information like a film’s themes and stars.
You don’t need a sophisticated and expensive AI software to tell you that a star like Leonardo DiCaprio or Tom Cruise will improve the chances of your film being a hit, for example.
Because AI learns from past data, it can’t predict future cultural shifts Zhao offers a more benign example of algorithmic shortsightedness: the 2016 action fantasy film Warcraft, which was based on the MMORPG World of Warcraft.
Scarso says that using AI to play around with a film’s blueprint – swapping out actors, upping the budget, and seeing how that affects a film’s performance – “Opens up a conversation about different approaches,” but it’s never the final arbiter.
Hollywood is unlikely to accept AI having the final say anytime soon Some in the business push back against the claim that Hollywood is embracing AI to vet potential films, at least when it comes to actually approving or rejecting a pitch.

The orginal article.