How can we better comprehend the challenges and possibilities of artificial intelligence in art? And how do human-technology hybrids transform artistic practice?
This video tour scrutinizes such questions and suggests that the increasing usage of machine learning in artistic practice calls for a re-examination of the artistic relationship between human and non-human actors.
In this video journey, artist Cecilie Waagner Falkenstrøm will reflect upon her artistic practice, utilizing machine learning (RNN, NLP, Reinforcement Learning) to create the modern dance piece, Centaur.
Audiences will be able to follow the creation of the piece, listen to Cecilie and modern dance instructor Pontus Lidberg discuss their thoughts on how machine intelligence transforms artistic practice, and watch rehearsals where the AI persona David takes the lead in instructing the dancers.
| Wed, 09.09.2020, 11:30 – 12:00 (CET | UTC +2) | Ars Electronica Gardens Channel |
| Thu, 10.09.2020, 11:15 – 11:45 (CET | UTC +2) | Ars Electronica Selection Channel |
| Thu, 10.09.2020, 22:00 – 22:30 (CET | UTC +2) | Ars Electronica Gardens Channel |
Video
Project Credits / Acknowledgements
These video commissions are co-funded by the Creative Europe Programme of the European Union in the framework of the European ARTificial Intelligence Lab.
Biography
Cecilie Waagner Falkenstrøm is an award-winning artist using new media (e.g. machine learning) to create interactive artworks. Her work has been exhibited internationally e.g. at Victoria and Albert Museum in London, Experimenta 2020 in France and Click Festival in Denmark. Her piece “ARTificial Intelligence FRANK” was awarded The Lumen Prize and the British Art and Humanities Research Counsel’s TECHNE Award.
