J. Rosenbaum

Can a computer get to know you?

Labels can help us identify with others. Others might label us in ways that we don’t like… but what happens when technology takes over?

Facial recognition software is a big part of surveillance technology, instantaneously searching databases of faces and categorising people. These AI programs are trained by humans and are full of their biases. What damaging assumptions are they making when teaching computers to profile people?

Self_Portrait will attempt to get to know you – using only a scan of your face. It’ll assign you some labels based on gendered assumptions. Then you pick and choose the labels to keep, producing an augmented reality mask that changes how the machine sees you. How will your decisions train the machine to think?

How will you choose to identify?

J. Rosenbaum (they/them) is a PhD candidate at RMIT exploring computer perceptions of gender and the nature of Artificial Intelligence (AI) generated art and the human hands behind the processes that engender bias, especially towards gender minorities. Their artwork highlights this bias through interactive works and traditional gallery displays. They speak at conferences worldwide about the use of AI and art and have exhibited all over the world.

Mel Huang (she/her) is an interactive designer and developer for the arts and culture sectors collaborating with institutions such as Dark Mofo, Chamber Made, NGV, Art Gallery NSW and The Australian Ballet. Spanning works across data visualisation, interactive design and live performance, she is passionate about the creative applications of technology within the arts. She is a former Creative Coding lecturer at RMIT, founder of Technecolour, bringing technical education to creative practitioners and an advocate for building creative communities around technology.

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