Datafication of Science lecture by Kate Crawford (Distinguished AI Scholar) and Trevor Paglen (artist)

extracted from part 2 of the recording of 'Stop Making Sense' @ HKW 12 Jan 2019 https://www.hkw.de/en/programm/projekte/veranstaltung/p_146043.php

"Are Artificial Intelligence and Machine Learning really the right metaphors to address training sets that feed into automated processes? Kate Craword and Trevor Paglen look into the production of training data and uncover the historical origins, labor practices, infrastructures, and epistemological assumptions, with biases and skews built into them from the outset. Departing from these observations they ask: Is there a possibility for decentralized, vernacular AI? How does computational centralization relate to reduction?"

• following discussion Kate Crawford, Trevor Paglen, Felix Stalder, and Luc Steels, moderated by Bernd Scherer