The Cards
- Arc: Transform
- Terrain: Make
- Object: Artwork
- Mood: Optimism
Background:
In the future, auto-personalization has been taken to the extreme. People expect every device they use to automatically anticipate what settings they will prefer to use. This mass customization is enabled by a deep personal knowledge base, seeded by each person’s social media content, as well as a sensor-laden environment that tracks their attention and engagements.
Now, this trend has been taken to art Galleries. The paintings of the future will not be static depictions, but dynamic, “smart” canvases. They won’t represent the expression of their creator, but the anticipation of their observer. They will show you not what the artist wants you to see, but what you want to see. The best artists, then, are those who can program these “paintings” to best predict the interests, likes, and tastes of people based on their internet footprint.
Implementation:
Although the technology and data required to do this well does not yet exist, first approximations are feasible. With the advanced artificial intelligence systems, like Google’s “DeepDream”, high-level conceptual elements can be recognized in image databases and projected into new images. Even without this kind of computational power, images can be combined, averaged, and adjusted to more closely resemble each-other. A first prototype of this system will scan a user’s Facebook profile for images they like, extract histogram information from those images, average this signature, and apply it to a new image presented to the user as “art”.