Creative Intelligence | denkpionier | MAGAZIN | Scoop.it

 

 

Rethinking the creative process.

 

Albert Camus once said that “true art is characterized by an irresistible urge in the creative artist.”  Henry Ward Beecher similarly wrote that “Every artist dips his brush in his own soul, and paints his own nature into his pictures.”

You don’t have to look far to find quotes like these, because art is something we consider intensely human. Art and the artist are so thoroughly intertwined that we can’t bear to think of one without the other.

For better or worse, we’re going to have to rethink this comfortable little notion.  Machine intelligence is advancing to the point where algorithms have begun to invade the world of culture and the aesthetic.  From recommendations to evaluation to the production of art itself, computers are becoming a force to be reckoned with in the creative realm.


The Search for Creative Assets


When you make a TV ad in Ukraine (as I have), you generally do it on a tight budget. You certainly don’t have the money to buy the rights to the latest hit by a big pop star or a vintage Beatles classic.  There are some local musicians who can create something for you, but thats a pretty involved effort and, to be frank, the quality isn’t worth it. I found a good solution with DeWolfe Music, which is an online database that gives you access to thousands of songs from unknown composers and performers.  You can search by music genre, keyword (e.g. an artist that you’re trying to emulate) and tempo, quickly find what you need and license the music for a small fee. Newer services, such as Pandora and Spotify, deploy a similar idea in order to build custom radio stations.  Rather than a human programming director choosing your music, you can just give the software some clues about what you might want to listen to and it designs a selection from a nearly infinite database to cater to your mood and preference. This is all done through the use of complex mathematical techniques, such as Bayesian classifiers and Gaussian copulas, that recognize similarities between data sets.  So just like a sommelier might ask you what wine you typically like and offer you something similar,recommendation algorithms can do the same with music, films and even art.


Via Thomas Menk