J. Rosenbaum
RMIT School of Art
Set in Stone
A series of marble faces, generated by AI, as it learns to create and update its bias’ on gender. First it is trained to generate masculine marble faces, fixed, immovable. Then marble feminine faces are added. It learns to change, a transgender neural network, updating its knowledge and its experience as it goes. Then the marble starts to give way, non-conforming self expression, color, joy, emerging as the gender becomes unfixed, non-binary. Through this evolving conceptual artwork I am exploring how my machine creates images representing gender and if it holds onto its trained bias. I am examining what the gender shift looks like and what transgender and non-binary self expression and self aware aesthetics are beyond biological essentialism. I created the datasets using 3D modeling to echo the idealized masculinity and femininity of classical statuary. This is part of my ongoing research project and is an evolving conceptual piece.
Woohee Cho
TW/CW: hate speech, racism, violence untitled wooheecho.com
Emiliano Aguirre
Tsar's Special Delivery Many years ago (a score or so) in an alternate America full of pastel colors, a state-sanctioned courier delivers a small jar of caviar.
Ursula Andreeff
The Renunciation Ceremony I created this painting series as part of the process to understand the emotional and subconscious experience of characters I’m developing for a television series. The series is called The Zomers and is about a zero waste community living in Chicago in 2046 and dealing with the effects of climate change. The […]
Brian Griffith
Biological Internal Feedback Biological Internal Feedback is a visual music piece exploring the opaque gelatin that is created when combining the moment of inspiration and the realization of the thought. The video for this piece was created using nature footage taken from around my neighborhood, and abstract video synth textures created in the CalArts Videographics […]