SET IN STONE
Set in stone is an exploration into the creative visualization of training bias out of a biased neural network. I created a 3D rendered dataset and trained several GANs first in one gender, then another, then, using semiotic expressions of non-binary gender, I added a third dataset while training and observed the results. Each neural network required specific file handling skills and reacted to the new data additions in different ways. An exploration of gender, of machine creativity and of bias. Through this project I have observed bias retreating and reemerging, I have seen artifacts appear as new data is being assimilated and I have created work with the samples generated as a result. This work has gone on to influence my entire thesis with further research into AI perceptions of gender beyond the binary.
Through this evolving collaborative work with my different AI systems, I am exploring how my machine creates images representing gender and if it holds onto its trained bias. From close up, the audience sees the individual faces and misses the big picture, but from a distance they see how those individuals combine to make a concept bigger than any one person. The unbiasing of the neural network is clear in video presentations, but the installation as a massive wallpaper, larger than life, blends all of those results together in a grand mosaic to show how we can’t always see how bias, particularly machine bias, will affect the individual.
J. Rosenbaum is a Melbourne AI artist and researcher working with 3D modeling, artificial intelligence and extended reality technologies. Their work explores posthuman and postgender concepts using classical art combined with new media techniques and programming.
J is a PhD candidate at RMIT University in Melbourne at the School of Art exploring Computer Perceptions of Gender and the nature of AI generated art and the human hands behind the processes that engender bias, especially towards gender minorities. Their artwork highlights this bias through programmatic interactive artworks and traditional gallery displays. They speak at conferences worldwide about the use of artificial intelligence in art and have exhibited all over the world. J’s artwork has been supported by the City of Melbourne Covid-19 Arts Grants and has won the Midsumma Australia Post Art Prize.
J works with classically inspired aesthetics with the latest technologies to create a speculative future grounded in the aesthetics of the past to show that gender minorities have always been here and will continue into the future.