In the artwork Suspicious Behavior you are given the role of an image annotator performing Human Intelligence Tasks or (HITs) for a crowdworking platform. In this fictional annotation tutorial, your work to detect and label suspicious behavior is needed to train “smart” surveillance cameras. As a crowdworker you are not paid well, time is money, and you need to decide fast. Nevertheless, the artwork raises questions: how is suspicious behaviour defined? Who defines it? Are humans training the machine or eventually the machine training the humans about behaviour?
This project is hosted on a third party website.
website is online and accessible to people...
We're hoping that many efforts and discussions will continue after Mozfest. Share any ideas you already have for how to continue the work from your session.:The interactive artwork “Suspicious Behavior” asks if training machines to understand human behavior is actually as much about programming human behavior? What role does the ‘collective intelligence’ of micro tasking annotators play in shaping how machines detect behavior? And in which ways are the world views of developers embedded in the process of meaning making as they frame the annotation tasks?
Kairus (Linda Kronman, Andreas Zingerle) explores vulnerabilities in IoT devices, corporatization of city governance and citizen sensitive projects in which technology is used to reclaim control of our living environments.