Part of Summer Academy July 2016
The point of departure of the workshop is to try to make a connection between a certain form of networked labor and the kind of software and collective intelligence that is currently developed. A concrete example is how Amazon Mechanical Turk workers are contributing to machine learning. Millions of manual annotations are necessary for a state of the art algorithm to learn. Without such a massive effort, such a technique would be pointless. However, to collect such an amount of training data would be much too costly if workers were hired under traditional labor conditions. AMT provides a mechanism of blunt exploitation, - the task is paid a few cents, and of extreme mechanization, - workers are responding to api calls.
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