{"id":1908,"date":"2020-05-10T18:32:07","date_gmt":"2020-05-10T18:32:07","guid":{"rendered":"https:\/\/expo.calarts.edu\/2020\/?page_id=1908"},"modified":"2020-05-10T18:32:14","modified_gmt":"2020-05-10T18:32:14","slug":"j-rosenbaum","status":"publish","type":"page","link":"https:\/\/expo.calarts.edu\/2020\/j-rosenbaum\/","title":{"rendered":"J. Rosenbaum"},"content":{"rendered":"
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J. Rosenbaum<\/h1>\n\t\t
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RMIT School of Art<\/h3>\n\t\t<\/div>\n<\/div>\n<\/div>\n
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Set in Stone<\/h3>\n
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A series of marble faces, generated by AI, as it learns to create and update its bias\u2019 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.<\/span><\/p>\n