PORTFOLIO (2)
BIO
Born: Bryn Mawr, Pennsylvania.
Education: Rhode Island School of Design Bachelor of Fine Arts in Glass, 2010
Lives: Brooklyn, New York

Ashley Zelinskie is a new media artist based in Brooklyn NY. Her work is conceptual and based on blurring the lines between art and technology. The work spans a variety of media from performance to computer programs. Ashley’s degree in glass from the Rhode Island School of Design lead her to experiment with the pairing of artistic media and technology. The work she is creating now can be appreciated by both human and computer. Ashley can be found browsing forums and social media where she often does anonymous artistic interventions. She keeps her artistic process open to the public and all of the work can be followed online via blogs, twitter, facebook, google+ ect.

Statement:
This work is not for us. It is for the future. And robots. That is, each of these pieces takes for granted that computers will outlast their makers, that technology will supplant humanity, and that craft should follow suit. This is art for the Singularity. Today, rigorous science and pure math maintain unbridled influence over technology – as such, our digital heirs are slated to inherit nuanced programming and breathtaking technical specifications. Yet we would render a profound disservice by stopping at numeracy and wire: if the Earth need be handed over to machines, we must prepare them not only to be accurate and efficient, but also cultured. Robots need magic. With regard to information density, the mosaic of human social interaction and artistic endeavor is unrivaled in diversity, ambition and depth. We are bound by duty to pass culture forward yet remain constrained by limitations: how can we sufficiently communicate this history and dialog to unknown, unimaginable and unspecified replacements? This work is an attempt to answer that question and, in fact, to begin that process – the process of translating our vast artistic and social history, in familiar language and appropriate media, to machines. Using simple code, recursive structures, redundant patterns, and emergent media in novel combinations, this work transcribes humanity – for a future without it.