How a Machine Learns and Fails: A Grammar of Error for Artificial Intelligence

#artificialintelligence 

Spheres journal #6 hosts two essays by Matteo Pasquinelli and Ariana Dongus on "The Spectre of Artificial Intelligence". Pasquinelli's essay is a condensed introduction to machine learning and its limitations that has been widely discussed with HfG students during the course "Exploring the Limits of Artificial Intelligence". Dongus' essay on data accumulation in biometric capitalism is part of her doctoral research at HfG and can be read here. Matteo Pasquinelli, "How a Machine Learns and Fails: A Grammar of Error for Artificial Intelligence". The Enlightenment was […] not about consensus, it was not about systematic unity, and it was not about the deployment of instrumental reason: what was developed in the Enlightenment was a modern idea of truth defined by error, a modern idea of knowledge defined by failure, conflict, and risk, but also hope.

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