What happens as networks transition from horizontal structures for end to end exchange to neural networks extracting and centralizing data into new monopolies? Science historian Stephanie Dick analyzes how statistical modeling has been integral to developing computation and AI, while data scientist Katharine Jarmul explains deep learning’s blind spots and what escapes the algorithmic eye.

Presented in cooperation with the research group KIM at HfG Karlsruhe and with the support of the Volkswagen Stiftung program AI and the Society of the Future.