Take a couple of minutes to watch the video below. This is the outcome of an experiment aimed at pushing the boundaries of creative use cases for Artificial Intelligence (AI), performed by space150. The experiment was able to output a deep fake of Hip-Hop artist Travis Scott, utilizing AI to create the song in its entirety, including the melody, lyrics, and production elements.
Click play, keep scrolling, and let’s talk about it.
Now, seeing the output of creative AI, it is clear that the impact that AI will have on the music industry cannot be overlooked. For too long, the industry has focused its efforts on the consumer-end of the supply chain, streaming services, and how AI can be used to impact the listeners’ experience (e.g Spotify’s recommendation system). However, with the exponential growth of machine learning techniques, and big tech companies focusing on creative AI, a deeper dive is required to investigate how this technology can impact the input of this supply chain, the creative.
“There’s a lot of fear surrounding artificial intelligence, but much like other technological advances, it’s just a huge creative platform.”Ned Lambert
In 2020, if you are yet to hear the term AI, you’re probably living under a rock. And if you have, chances are you still don’t fully understand it. In this section, the aim is to demystify the meaning of AI, showing how this buzzword can assist with empowering the creative.
IBM defines artificial intelligence as the ability of machines to perform tasks usually associated with human beings. It includes concepts such as machine learning, deep learning, neural networks, natural language processing, and visual recognition. AI uses supervised learning, unsupervised learning, reinforcement learning, and deep learning to train models with data.
The Use Case
As the power in the industry slowly shifts from the big traditional record companies to the hands of the creator, the need to empower the creator through knowledge has never been this evident. Shori utilizes natural language processing techniques to bridge the knowledge gap for the creator. In an industry where profit is made through misinformation, providing knowledge to the creator will exponentially increase the shift towards placing the creator in the driver’s seat.