Participants are able to use a physical interface*, to navigate and control the visual input on the LED wall. 
The imagery shown on the wall is a mix of real-time surveillance input, including a face detection software, as well as synthetic imagery created via custom-made machine learning-based models. 

While interacting, and navigating this content, the participants are directly affecting the algorithm, changing the content on the screen in real-time.  Each activity is logged, irreversibly changing the system and it’s content. In such interactive feedback loop, we  explore how quickly human input can affect a seemingly organised system, and change it’s rules. 
Besides the real-time visual output, we present the logs, which are anonymously stored.

* Moreover, this installation will design and present the first human-computer interface for AI oversight and stop-button available to the public, as a tool for oversight, simulation, and agency.