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Sougwen Chung Discusses Her Artistic Work with Machine Systems
Daniel Johnson — November 28, 2019 — Keynote Trends
Sougwen Chung gave a keynote discussing her artistic collaborations with machine systems. Chung was a research fellow at MIT's Media Lab, and in 2019 she was chosen as the Woman of the year in Monaco for her work in art and science.
Sougwen Chung opens her keynote by discussing how technology plays a crucial role in many of our lives, and she questions where that will leave people as automation rises. She then considers how our drives for perfection and automation will impact human creativity.
Chung continues to outline how she explores what impacts AI and robotics could have on human creativity. For the previous few years, she has worked with machines to explore where AI ends and humanity begins. Chung states that her work is at the crossroads between philosophy and technology.
Sougwen Chung then outlines how she started working with machines on art projects, where a machine would track her lines. However, she found that the machine did not do this perfectly and they were adapting to each other in real-time. Chung states that the imperfections made the work interesting. Following this, she trained a neural network to mimic her artistic style, based on letting it train on years of her work.
Sougwen Chung concludes her keynote by stating that human and machine systems allow us to create something that is more than the sum of its parts.
Sougwen Chung opens her keynote by discussing how technology plays a crucial role in many of our lives, and she questions where that will leave people as automation rises. She then considers how our drives for perfection and automation will impact human creativity.
Chung continues to outline how she explores what impacts AI and robotics could have on human creativity. For the previous few years, she has worked with machines to explore where AI ends and humanity begins. Chung states that her work is at the crossroads between philosophy and technology.
Sougwen Chung then outlines how she started working with machines on art projects, where a machine would track her lines. However, she found that the machine did not do this perfectly and they were adapting to each other in real-time. Chung states that the imperfections made the work interesting. Following this, she trained a neural network to mimic her artistic style, based on letting it train on years of her work.
Sougwen Chung concludes her keynote by stating that human and machine systems allow us to create something that is more than the sum of its parts.
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