Tools & Resources
How normal am I?
Facial recognition, artificial intelligence, critical data literacy, awareness
Facial recognition, artificial intelligence, critical data literacy, awareness
automated decision-making, New York City, awareness-raising, data literacy
KairUs (2020): Suspicious Behavior. A Data Annotation Tutorial. The project “Suspicious Behavior” (2020) by the media art duo Linda Kronman and Andreas Zingerle provides an impressive insight into a world in which artificial intelligences are trained to automatically recognize suspicious situations and distinguish “normal” from “abnormal” behavior. In a tutorial, Read more…
DataSkop, ein von AlgorithmWatch koordiniertes Verbundprojekt, Berlin 2020. The aim of the project is to strengthen digital sovereignty, and thus the skills of the individual. This includes, in particular, dealing with data in an informed manner, acting safely in digital environments, recognizing algorithmic structures and understanding them in basic terms. Read more…
Zweig, K. / Hauer, Marc / Krafft, Tobias. Bayerischen Landeszentrale für neue Medien BLM (Hrsg.) (2017): Dein Algorithmus – meine Meinung! Algorithmen und ihre Bedeutung für Meinungsbildung und Demokratie. The publication “Dein Algorithmus – meine Meinung! Algorithmen und ihre Bedeutung für Meinungsbildung und Demokratie” explains how algorithms work. “The most Read more…