Is there an object of design more commonly used or celebrated than the chair? For many renowned designers and architects, a single chair can be their piece de resistance–and prized pieces are known to even fetch millions of dollars on the secondary market. An archetype of design, chairs can be seen as little manifestos of larger ideas, documenting a maker’s approach to craft, construction, materiality, and place in history; act as a form of storytelling or signifier of status, and an artifact of how we live.
More humbly, a chair can just be a thing we sit on–and as they serve a pretty basic function with reasonably limited variation, designers Philipp Schmitt and Steffen Weiss set out to see if a set of neural networks could measure up to the creative mystique of a famous designer and create a modern “design classic.” It’s an exercise that provokes many questions on what we value and define as “good design,” that very human blend of innovation, function, and artistry. Could a bot produce an object as symbolically rich as a chair, and with the aesthetic proficiency of an Eames or Breuer design? It’s 2018, so we don’t have to wonder.
For their chAIr Project, Schmitt and Weiss, based in New York and Berlin, collaborated for several months via Skype to create a generative neural network (GAN), then trained it with a dataset of 562 chair designs from the 20th century, scraped from Pinterest boards. The GAN, the designers explain, consists of two neural networks: The first is programmed to look at the images and learn to generate similar ones, while the other determines if the generated image looks enough like a chair, and attempts to refine it if not.
Based on these two variables, the algorithm generated hundreds of resulting forms that are more abstract, sculptural collage than functional designs: The sketches appear as purely associative objects that mash up familiar components–the tapered leg of a midcentury classic, the curved wood backing of a Hans Wegner design, or the bent tubular steel of a Mies van der Rohe chair–scrambled up pell-mell and reassembled to create wonky new designs. “This creates a lot of potential for our human imaginations to fill in the details,” says Schmitt, who then took a selection of the AI-generated chairs and refined them into 3D sketches, eventually factoring in real-world variables and constraints, such as material properties and physics, to mock up four miniature-scale prototypes in balsa wood, brass tube, and aluminum mesh.