AI: Artificial Intelligence

Participants of the exhibition

From the Barbican Centre original exhibition

Christina Agapakis, Memo Akten, Sofian Audry, Marija Avramovic, Case Western Reserve University, Ana Cuna, Alexandra Daisy Ginsberg, Es Devlin, J. Donald Tillman, Justine Emard, Steve Goodman (Kode 9), Ross Goodwin, Mark Gorton, Mick Grierson, Benjamin Grosser, Stefan Hurtig, Takashi Ikegami, Interactive Commons, Mario Klingemann, Lauren McCarthy, Alexander Mordvintsev, Robert del Naja, Nexus Studios, Tobias Nolte, Yoichi Ochiai, People + AI Research (PAIR), Anna Ridler, Chris Salter, Luis Sánchez, Alexandre Saunier, Sears think[box], Sony Computer Science Laboratories, Thomas Spier, Nao Tokui, Sissel Tolaas, Sam Twidale, Universal Everything, Detlef Weitz and Andrew Witt

New participants at the CCCB exhibition

Maria Arnal, Tina Bagué, Jordi Balló, JP Bonino, Francesca Bria, Jorge Carrión, Adam Cole, Dario Cortés, Cristian Cozar, Fernando Cucchietti, Anna Dumitriu, Amanda Duarte, Eduard Escoffet, Nicholas Evans, Jake Elwes, Dario García, Fran Gas, GPT-2 i GPT-3, Victor Guallar, Behzad Haki, Mohsen Hazrati, Joan Jené, Oriol Jorba, Sergi Jordà, Esen Ka, Jeppe Lange, Lissette Lemus, Solimán López, Maria Cristina Marinescu, Alejandro Martín, Roberto Massó, Alex May, Gabriel McGee, Marta Melé, Maite Melero, Joaquim Moré, Toru Morimoto, Ivan Paz, Kris Pilcher Carmen Puche Moré, Jordi Sabater, Manel Sanromà, Eryk Salvaggio, Darius Shaoul, Taller Estampa, Alfonso Valencia, Marta Villegas and Weidi Zhang.

Sections of the exhibition

Data worlds 

AI perceives the world as a data set. Big data would not have developed so spectacularly without AI. This is why it is extremely sensitive to the way data are gathered and analysed.

AI systems are numeral systems. Even those that answer with words, images and sounds do so by converting them previously into numbers, and they write, draw and speak based on number operations.

Digital media (mobile phones, sensors, personal computers, the internet, etc.) play an important role in gathering the data AI relies on. We all contribute to this in our daily lives, often without being aware of it. The criteria and biases in the way we humans use these systems, and those that implicitly underly the way digital media operate, are the origin of the criteria and biases shown by AI.

AI compiles information, discovers regularities and builds sets of images from immense data banks that cannot be analysed by the human brain. This understanding of AI can be a source of potential scientific discoveries and gives us a new perspective of the world.

Mind machines

Is AI really intelligent? We can say, in any case, that AI learns because it changes the way it works based on acquired experience, and it thinks because it processes information and acts accordingly.

From Babbage, Lovelace and Turing to the present day, humans have sought to create machines that mimic the brain. These machines have currently attained a very high level of self sufficiency. The invention of mind machines provides a surprising and fascinating glimpse of what thinking means and, more specifically, what perceiving, ordering and understanding signifies.

When humans and machines cooperate, and when they compete, the mindset of each one clearer. Detecting the convergence spaces and margins of incomprehension between human and machine thinking is fundamental in addressing the crisis of contemporaneity.

The dream of AI

The human ambition to create an intelligent, autonomous being artificially is not new. The current rise of AI taps into a desire that has been present since time immemorial and has manifested itself in different ways across various human civilisations: the curiosity about, fascination with and horror of creating, summoning or conjuring up artificial beings.

Some of the roots of AI can be found in Shintoism, Judaism, alchemy and Gothic literature, among others.

AI is a new technology, but our desires and fears remain, to a large extent, the same.

Endless transformation

Is AI truly artificial? Contemporary science and philosophy call into question the distinction between the natural and the artificial. Can we really talk about artificial life?

AI brings new perspectives to contemporary science and culture that lead to new scientific breakthroughs and require a new social and legal framework.

Art is a symptom, a test bed and a space that criticises and inspires social transformations. What is the current situation and what are the future prospects for the impact of AI on cinema, literature and music?

And what now?