The print is signed “min G max D x [log (D(x))] + z [log(1 — D (G(z)))]” after a section of the algorithm’s code used by computer. It was the first time when a computer-generated artwork was offered by a major auction house. It represents a blurry and unfinished image of a man in a dark frock-coat and white collar, titled Edmond de Belamy, from La Famille de Belamy. In facts. many AI art pieces pointed to a fictitious Belamy family tree, including Baron de Belamy in a military sash and a countess in pink silks. To do this, the computer wad a large data input: “We fed the system with a data set of 15,000 portraits painted between the 14th century to the 20th,” collective member Hugo Caselles-Dupre told Christie’s. The auction was won by an anonymous phone buyer.
“Christie’s continually stays attuned to changes in the art market and how technology can impact the creation and consumption of art,” Richard Lloyd, international head of prints and multiples at Christie’s, said in a statement before the auction. Friends Pierre Fautrel, Hugo Caselles-Dupré and Gauthier Vernier, from Paris, first started experimenting with art and machine learning last year.