SFB 1187 ›Medien der Kooperation‹ an der Universität Siegen
Ringvorlesung: „Learning (in) Digital Media“ – M. Beatrice Fazi (University of Sussex): „Causality and the Future of Deep Learning“
Dienstag, 01. Februar 2022, 18:00 - 20:00 Uhr

Die Ringvorlesung findet als hybride Veranstaltung mit Teilnahme vor Ort und online-Zugang statt. Der Zoom-Link für die Vorlesung wird rechtzeitig über die Mailingliste des SFB zur Verfügung gestellt. Gäste können sich per Mail bei Damaris Lehmann anmelden. Sende eine E-Mail

 

This talk will offer a philosophical perspective on the future of deep learning. In the past decade, the successes of deep neural networks have brought the cognitive aspects of learning to the fore of artificial intelligence (AI) research. While the learning performance of artificial neural networks has been discussed in various ways, researchers tend to agree that this performance does not match that of human brains. The talk will consider how AI researchers are addressing the limitations and shortcomings of current state-of-the-art deep learning: it will focus on arguments claiming that more efficient, flexible and versatile deep learning can be achieved if and when these computational systems will learn to understand causal relations and cause-effect questions. The talk will address the issue of causality in AI and the concept of causation in philosophy to analyse how learning is linked to generalisation, reasoning, inference and to diverse modes of agency. 

 

M. Beatrice Fazi is Lecturer in Digital Humanities in the School of Media, Arts and Humanities at the 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. Her research focuses on the ontologies and epistemologies produced by contemporary technoscience, particularly in relation to issues in artificial intelligence and computation. She has published extensively on the limits and potentialities of the computational method, on digital aesthetics and on the automation of thought. Her monograph Contingent Computation: Abstraction, Experience, and Indeterminacy in Computational Aesthetics was published by Rowman & Littlefield International in 2018.