Arts + Culture,

Automating Art: The Good & Bad of Technology in Art Making

May 3, 2022 - May 3, 2022 | 7:00 pm - 8:30 pm
City of Asylum
40 W. North Avenue
Pittsburgh, PA 15212

Experts from the University of Pittsburgh and Carnegie Mellon—a worldwide leader in AI—will explore the intersection of technology and creative practices like CGI & autotune, and debate their impacts on music, art, and literature.

The panel will also address the future potential of autonomy in art, and whether human artists are at risk of being replaced by computers.

Featured Panelists: 

Eunsu Kang is an artist, a researcher, and an educator who explores the intersection of art and machine learning as well as the possibility of creative AI. Her works currently focus on the nascent area of AI art. All ten of her past solo shows, consisting of individual or collaborative projects, were invited or awarded. A few years ago she left her tenured art professor position to design and teach new courses (Art and Machine Learning, Creative AI) at the Machine Learning Department of Carnegie Mellon University. She also co-founded the Women+ Art AI collective. Kangeunsu.com

Richard Randall is a musician, activist, and professor at the Carnegie Mellon University, School of Music. He has published in the areas of musicology, cognitive psychology, neuroscience, and media and cultural studies. He created and co-directed the Pittonkatonk May Day Brass BBQ from 2014-2017. As a performer, he leads the experimental electroacoustic group, Bombici.

Garth Zeglin is a roboticist, artist, and educator with the IDeATe (Integrative Design, Arts, and Technology) program at Carnegie Mellon University.  He teaches interdisciplinary design and technology practice, bringing together students from across departments to create robots and interactive machines.  His current art practice centers on kinetic and robotic sculpture constructed from fragile plaster parts.  He is also a trained musician and dabbles in digital audio and lighting design.

This program is presented in ongoing partnership with the K&L Gates Endowment for Ethics Computational Technologies at Carnegie Mellon University.

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