Title: „Human-Aided Artificial Intelligence, or: How to Run Large Computations in Human Brains? - Towards a Collective Ethics of Machine Learning“ (see also my German pre-print on this).
Coordinates: May 23, 2019, Königin-Luise-Straße 24-26, 14195 Berlin, Room 120.
Abstract: In the past 10 years, the success of Deep Learning has led to a boom in artificial intelligence (AI) in many industrial and commercial sectors. In this talk I will argue that this upheaval has not only been driven by technological progress (better algorithms and high performance computing), but is linked to a comprehensive structural change in media culture. Current Machine Learning technologies are largely based on harnessing human cognitive resources in hybrid human-machine apparatuses. Human-machine interfaces and media infrastructures have been developed to capture human participation in order to generate a constant stream of training or verification data for various AI problems. Artificially intelligent apparatus are in fact hybrid human-machine networks. I will refer to this technological, economic and media-sociological constellation as “HumanAided AI”. Distinguishing classical AI from ‘cybernetic AI’, I will argue that AI today does not so much resemble the popular notion of intelligence as an autonomous, sovereign and rational intellectual capacity, but refers to a relational information processing capacity of hybrid human-machine networks. I will analyze this constellation with respect to questions of end-user subjectification and governmentality theory.