How we Learned not to Build Machines Against Humans the Hard Way
Nearly everyone who starts to work with AI and data science is thrilled by the impact algorithms have on problems that seemed unsolvable before. So were we, when we started to discover that it is pretty easy to predict the emotional reactions of consumers to a song or voice using algorithms.
Our initial idea: Let’s use these algorithms to automate the creation process of audio commercials. What we then initially did was trying to build a machine against humans. In the process, we had to learn that machines are not really good at getting creative because creativity is not scalable.
Realising that, we started again from the beginning: with learning what the definition of creativity means. We began to record a podcast and met some of the best creative minds and most clever data scientists on this planet. This totally reshaped our thinking:
Today we use technology twofold: to worship human creativity and to enhance our senses, which makes us even more creative by showing us emotional (parallel)worlds beyond our gut feeling and imagination. But it’s our mind that uses these insights to be truly creative.