Speaking on „Human-Aided Artificial Intelligence, or: How to Run Large Computations in Human Brains?“ at the Ethics in IT Group, Universität Hamburg
I’m excited to present my work at the “Ethics in IT” Group (Prof. Judith Simon) at the University of Hamburg.
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: 18 March 2019, 13:00-15:00, Informatikum, Room G-123, Vogt-Kölln-Straße 30, 22527 Hamburg-Stellingen.
Abstract: The current hype of Deep Learning and artificial intelligence (AI) has not only been driven by technological progress (advances in algorithms and computing power), but is linked to a comprehensive structural change in media culture. Current Machine Learning technologies rely on harnessing human cognitive resources in hybrid human-machine apparatuses to procure a constant stream of training or verification data, obtained through human participation. To enable this participation, human-machine interfaces and comprehensive media infrastructures have been designed to reach into almost all areas of social life, turning many internet users into involuntary data generators. I will argue that these infrastructures of “human computation” and data aggregation form an integral part of artificially intelligent apparatuses. Consequently, current AI does not so much resemble the classical phantasm of intelligence as an autonomous, sovereign and relational capacity of a spatially contained entity (a living being, a computer), but refers to an emergent, relational and networked information processing capacity of hybrid human-machine assemblages. In this talk, I will specifically explore some of the ethical challenges that arise when Human-Aided AI is deployed in predictive analytics and social policy.
