Reservoirs of Venice is an installation that explores the city as a medium for information processing, using its physical systems to model and predict environmental changes.

Data Bugs is an immersive emotional installation that makes tangible and experiential the working mechanism of a neural network, demystifying the omnipotence that is too often attributed to AI.

Created by Matthew Biederman for the upcoming album by Pierce Warnecke, 'A Quickie in the Bouncy House' is a music video deploying Stable Diffusion to explore the edges of the AI text-to-image, forcing it into SFW corners of its training where it appears to break down, get stuck between gender, race or in time.

Imagined as a tool to provide assistance to a conventional approach to sculpting, here an AI model is developed to seek out strategies that provide a constant improvement to how a given form is achieved. By feeding it with different tools, rules and rewards through reinforcement learning, the team steer the process revealing unpredictable outcomes.

Created by Yuri Sizuki (Pentagram) in collaboration with Fish Fabrications and Counterpoint, 'The Welcome Chorus' is an interactive installation that brings together sound, sculpture and artificial intelligence.

Created by Refik Anadol in collaboration with Google's Artists and Machine Intelligence program, 'Archive Dreaming' is a 6 meters wide circular installation that employs machine learning algorithms to search and sort relations among 1,700,000 documents.

Created by Seoul based artistic duo Shinseungback Kimyonghun, 'Animal Classifier' is an AI trained to divide animals into arbitrary classifications to foreground the imperfections and edge cases in classification systems.

Created by Yuri Suzuki Design Studio and presented at the recent Milan Design Week, Sonic Pendulum is a sound installation in which articial intelligence imagines and materialises an endless soundscape.

Latest in the series of critical design projects by Shanghai design and research studio Automato, TraiNNing Cards is a set of 5000 training images, physically printed and handpicked by humans to train any of your machines to recognise first and favorite item in a house: a dog.

Created by Bjørn Karmann at CIID, Objectifier empowers people to train objects in their daily environment to respond to their unique behaviours. Interacting with Objectifier is much like training a dog - you teach it only what you want it to care about. Just like a dog, it sees and understands its environment.