The website “How normal am I?” is an interactive online experience that aims to raise awareness about facial recognition and artificial intelligence systems. It accesses the user’s camera and applies a facial recognition algorithm that judges the user’s face, accompanied by an explanatory commentary by the author. By seeing how Read more…
Automating NYC is an interactive website created by Harvard graduates to address the lack of public education about automated decision making systems, while also educating New York City residents about the kinds of systems being deployed in their city. The website includes stories, infographics and interactive elements that explain how Read more…
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…