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.
Sam Jones
Noticing Nature Noticing Nature looks at how a new story is needed that is more centered around nature. It explores how everything, including ourselves, is connected, and how important it is that we take the time to slow down and notice the nature that surrounds us every day. http://www.noticingnature.com/
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 […]
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Fallon Williams
Originally located on the back wall of the MOD, IRIS was a 3-dimensional automated aperture that opened to about 17-ft in diameter to reveal a lit cyclorama in its opening. For the Virtual Campus, we will be modeling the iris in 3D software, then using lighting software to create various lighting looks. Christian Mejia (MFA2, […]