ARS ELECTRONICA ARCHIVE – AI LAB

The European ARTificial Intelligence Lab (AI Lab) is a follow-up project to the European Digital Art and Science Network, a creative collaboration between scientific institutions, Ars Electronica and cultural partners throughout Europe that unites science and digital art. The European ARTificial Intelligence Lab follows on from this and addresses visions, expectations and fears that we associate with artificial intelligence. The consortium consists of 13 cultural institutions from Europe with Ars Electronica as coordinator. This online archive provides an overview of all activities carried out during the project's lifetime from 2018 to 2021. It also provides information about the network itself, the residency artists and juries, and the project partners involved. The AI Lab is co-funded by the EU program "Creative Europe (2014-2020)" and by the Federal Ministry of Arts, Culture, Civil Service and Sport.

Exhibitions/Journeys 2021

Forms changed to new entities by Antti Tenetz (FI)

AI Lab Journey
comissioned for the Ars Electronica Online Festival 2021.
published and streamed during the Festival, afterwards accessible via the Festival Website

Links

https://ars.electronica.art/newdigitaldeal/en/perihelion/

Start:

Sep 08, 2021

End:

Sep 12, 2021

Info:

In addition to scientific, technological and economic aspects, the European ARTificial Intelligence Lab focuses strongly on legal, cultural, educational and ethical dimensions of Artificial Intelligence. This allows a holistic model that considers human values and elementary questions of what AI should or should not do, as well as how AI systems are developed, deployed, used and monitored, and by whom. From the perspective of 13 major cultural operators in Europe and led by Ars Electronica, the European ARTificial Intelligence Lab centers visions, expectations and fears that we associate with the conception of a future, all-encompassing artificial intelligence.
While industries are pumping massive amounts of money into cutting-edge technologies to develop intelligent systems, we are connecting artists with research institutions and scientists to fill a gap in dealing with the social components and political questions arising from these enormous technological advances.

Cross reference

Ars Electronica, Antti Tenetz (FI)

Biography

Antti Tenetz is a sub-arctic based artist. Through a practice of video, installation, interactive and biological arts he explores how humans, non-humans and machines envision, dream, perceive and relate to the changes in hybrid environment where the technosphere and biosphere merges. His works are situated at the interface between media arts, biological arts and urban art. His focus is on multi-disciplinary and multi-artistic cooperation between art and science, and he often uses technologies such as drones, satellite tracking, game engines and machine learning. Tenetz’s works and collaborative projects have been exhibited in Finland and internationally, including at the Venice Biennale, Istanbul Biennale parallel program, Tate Modern Exchange program, Science Gallery Dublin, Lumipalloefekti exhibitions, X-Border, ISEA Istanbul, Pan-Barentz, and e-mobil art. He has also won three national snow-sculpting competitions.

Credits

These video commissions are presented in the framework of the European ARTificial Intelligence Lab, which is co-funded by the Creative Europe Programme of the European Union and the Austrian Federal Ministry for Arts, Culture, Civil Service and Sport.

Description

In his work Perihelion (2019), Antti Tenetz combines images of space, celestial bodies, technology, space science and life. Applying machine learning, the work brings out dreamlike images of the worlds and beings of possible futures in space. The Perihelion concept wraps up microbiology, artificial Intelligence and technologies evolving with humans in space and deep space traveling. What we would be in space and how life and evolving technological frame reflect unexpected and out of human. The Journey video unravels process and challenges and steps leading from idea to work, such as how to build M.L machine and learn GAN training and develop it with ideas of life evolutive process, who to collaborate and get gold generating bacteria and right species of cyanobacteria as well as how to understand possibilities, limitations and dangers in space.