Encoding Cultures: Beatrice Fazi | Machine Learning and the Image of Algorithmic Thought

Recent advances in the field of artificial intelligence are revolutionizing the way with which we think and act. They give an idea of the fundamental changes that will affect our society in the coming years. The interdisciplinary symposium »Encoding Cultures. Living Amongst Intelligent Machines« brought scientists, programmers and developers, cultural theorists and artists into dialogue with a broader public. The lectures and discussions provide insight into the latest state of research and development in the field of machine learning and ask about the current and long-term effects of this technology on science, business, politics, art and society.

M. Beatrice Fazi is a Research Fellow at the Sussex Humanities Lab (University of Sussex, United Kingdom). Her primary areas of expertise are the philosophy of computation, the philosophy of technology and the emerging field of media philosophy. Beatrice’s current work investigates the limits and potentialities of formal reasoning in relation to computation. This research aims to offer a reconceptualisation of contingency within formal axiomatic systems vis-à-vis technoscientific notions of incompleteness and incomputability. Her forthcoming book is entitled Contingent Computation: Abstraction, Experience, and Indeterminacy in Computational Aesthetics, and will be published by Rowman & Littlefield International in 2018.

Video documentary:

ZKM | Videostudio

Camera: Daniel Vogrin
Live-Editing: Moritz Büchner
Editing: Bastian Buchgraber