Human Data Collection for Artificial Intelligence
Kitchen Budapest (HU)
Since the first industrial revolution, automation has been one of the primary instruments of increasing productivity, that is replacing human workforce with task-performing machines. The thermo-mechanical models of the early industrial age have now evolved by into more complex electro-computational networks, where scripted interactions are staking out an ever-growing number of domains and specialist fields.
Under algorithmic capitalism, automation (robotics with automated thought—AI) are disrupting a large segment of industry and life as we know it: from the self-driving cars reinventing transport, chatbots reinventing friendship, unmanned drones reinventing war, synthetic bodies/persons reinventing human rights, to e-government reinventing politics.
In contrast to the perceived obfuscation in much of the computational protocols today, Training 2038 stages a scenario where people are given a voice to provide feedback on systems that are just taking shape. In the safe space of a private VR experience, an extensive survey is underway in the form of a dialog played out between an embodied conversational bot and a human user. With no moral conscience, how would an automated decision tree behave?
Kitchen Budapest is Gábor Pribék (HU), Iván Rohonyi-Demkó (HU), Jonathan Ravasz (HU), Filip Ruisl (SK), Richárd Nagyfi (HU), Szilvi Német (HU), Attila Nemes (HU), Patrik Makrai (HU), Judit Varga (HU), Orsolya Forster (HU), Benjamin A. Balla and Healium Decoration (HU)
Supported by Telekom Group Hungary