landscape
ai
02:43
2020
Anne Spalter is a visual artist, educator, author, and collector. Her visionary art takes viewers on an abstract sci-fi voyage, employing media from digital video, AI, and crypto art, to drawing, painting, weaving, and giant inflatables. Spalter’s distinctive dystopian vision of the modern landscape is inspired by travel, sci-fi novels, movies, and the writings of Carl Jung. In her immersive installations, viewers wander through apocalyptic streetscapes with towering waves, crashed spaceships, and raging fires, all depicted with acid hues and vibrating patterns. Spalter has created, curated, and collected digital work for decades, founding the first digital fine arts courses at Brown University and RISD in the 1990s, and authoring the internationally taught textbook, The Computer in the Visual Arts. With Michael Spalter, she stewards Spalter Digital, one of the largest private collections of early computer art work.
She recently completed an alumni residency at MAss MoCA, was featured as one of the 50 most important crypto artists in Rizzoli’s CryptoArt Begins, and participated in the SPRING/BREAK Art show NYC, as well as the CADAF Art Fair (Nov 11-13). Her 557-piece NFT project RABBIT TAKEOVER sold out in five minutes this December, and she is currently working on her contribution to the Superrare RarePass Project. Also in December, the Buffalo AKG Museum acquired her surrealist-inspired 20-minute NFT video work, The Bell Machine. Spalter’s art is in numerous private collections and museums such as the Victoria and Albert, the AKG Buffalo Art Museum; the RISD Museum, and The Museum of CryptoArt. Her NFTs have been auctioned by Sotheby’s and Phillips, and featured in the New York Times. She continues to lecture on digital art practice, theory, and the market.

Lost at Sea: AI Ships in the Time of Quarantine
Building on a residency at MASS MoCA in which I developed a series of oil paintings based on AI-generated imagery of salvation and armageddon (which led to a sold-out show at SPRING/BREAK Art Show NYC 2020), I have continued to use AI image creation as a basis for new compositions, this time to create imagery and video about ships trapped out at sea in the time of quarantine. The images combine ghostly ever-morphing forms and the ships seem to move but end up going nowhere. All the ship forms and background colors are generated with AI algorithms.
Theoretically, the work draws on philosophies of Carl Jung and Arthur Schopenhaeur as a conceptual framework for the exploration of artificial intelligence (AI) in image generation. I am interested in the concept of representation as discussed by Schopnehauer (e.g., “objects are representations”) in the context of generating this seascape imagery with various AI GAN processes. In particular, how do these objects exist distinctly from perception by a subject (i.e., when only “seen” by a machine)? And how does this “perception,” when divorced from human senses, result in an “understanding” of an object or landscape/seascape? During the AI algorithm’s “learning” process, it often develops shapes and compositions that do not resemble anything exactly familiar or that we have seen before.
The AI image results worked with in these series draw on an image set that I supplied (combining container ships and luxury yachts) that is visually meaningful to me, so it is perhaps not entirely surprising that the newly born compositions are often inspirational, serving as what is functionally a machine-created unconscious that could be the subject of Jung’s quote: “In addition to memories from a long-distant conscious past, completely new thoughts and creative ideas can… present themselves from the unconscious – thoughts and ideas that have never been conscious before.” (With “unconscious” replaced by “AI algorithm;” the AI algorithm is functioning in a way analogous to the human unconscious).
ai
landscape
02:43
2020