Symposium: AI x ART
Get access to this symposium and our amazing other panels at a reduced rate with our Panel Pass!
Art and Technology have always been bedfellows. How are artists, technologists, administrators, curators using AI to create, communicate, disseminate art? How is AI changing the dialogue around creativity, equity, inclusivity and how art is consumed? The AI x Art Symposium sheds light on these questions through presentations and panel discussions.
Welcome and Introduction:
Janet Wong, Associate Artistic Director of New York Live Arts
Body, Movement, Language: AI Sketches with Bill T. Jones
A collaboration between Bill T. Jones, New York Live Arts and Google Creative Lab exploring AI and Movement.
Between Science & Speculation: Technological Dreaming
Ani Liu, artist and 2019 – 21 Princeton Arts Fellow
AI in Performance: Making discrete figures
Kyle McDonald, media artist and co-creator of discrete figures
Yes, AI CAN help you develop a new relationship with your Audience
Dr. Brett Ashley Crawford, Executive Director of Arts Management and Technology Lab at CMU
Livecoding Traversals through Sonic Spaces
Jason Levine, audiovisual artist and performer
GANymedes: Art with AI
Eunsu Kang, media artist and Visiting Professor of Art and Machine Learning at Carnegie Mellon University
Emergent Storytelling with Artificial Intelligence
Rachel Ginsberg, multidisciplinary strategist, member of Columbia University School of the Arts’ Digital Storytelling Lab
Creating in the Age of AI
A panel discussion on AI and creativity, the shifting value of process and authorship, the generation of meaning, and the role of the artist in interpreting the world around us.
Ani Liu, artist and 2019-21 Princeton Arts Fellow
Dr. Brett Ashley Crawford, Executive Director of Arts Management and Technology Lab at CMU
Eunsu Kang, media artist and Visiting Professor of Art and Machine Learning at Carnegie Mellon University
Kyle McDonald, media artist and co-creator of discrete figures
Moderated by Bill T. Jones
This event is made possible in partnership with the Carnegie Mellon University’s Master of Arts Management Program and the Arts Management & Technology Laboratory, Machine Learning Department at the School of Computer Science, and the Miller ICA.
