Data2Teach ist ein kostenloser Online-Kurs zum Thema Datenkompetenz im Bildungskontext. The course is aimed primarily at students and teachers, but also at anyone interested in data collection and analysis. The course focusses on topics such as educational monitoring, data-driven educational processes, opportunities and risks of using data in the school Read more
“Your Data Mirror Experience” is a personalized, story-based and interactive web application. The project is based on the user’s own data traces and shows what should remain hidden from users: the psychological profile that can be created from personal data in order to play out targeted (political) advertising and influence Read more
A toolbox for democracy learning, digitalisation and non-formal education. The toolbox offers and shares experience, methods and inspiration for active citizenship-related learning and empowerment in communities, schools, or non-formal learning spaces, in organizations, universities or initiatives. The data collected is aimed at educators and includes, for example, methods for planning and Read more
The education pack “KI in meinem Alltag” by iRights.Lab supports (prospective) teachers to integrate the topics ‘AI-basics’ and ‘AI & Society’ into school in a natural and low-threshold way. It consists of 15 teaching material items, from videos, audio-interviews and graphics to texts and working sheets. The material takes an Read more
ProPublica (2016): Breaking The Black Box, New York. In the age of increasing automation, in which machines are making more and more decisions for us, the information service “Breaking the Black Box” aims to shed more light on the thicket of automated decision-making systems. In a small series of articles, Read more
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
introduction dynamic visualisation to machine learning: computers statistical learning techniques patterns predictions machine learning model homes New York San Francisco Statistik statistische Lernverfahren Eine dynamische Visualisierung statistischer Lernverfahren Erkennung Mustern Daten. Wohnungen USA Modell New York San Francisco .
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
Hötter, Johannes; Warmuth, Christian (2021): Künstliche Intelligenz und Maschinelles Lernen in der Praxis. Online-Kurs vom 6. Oktober bis 3. November 2021 The free online course “Artificial Intelligence and Machine Learning in Practice” by Master’s students Johannes Hötter and Christian Warmuth on openHPI is aimed at high school students as well Read more
Reinhardt, Julia; Oswald, Sven (2020): Künstliche Dummheit oder Künstliche Intelligenz? Interview mit Deborah Seifert vom 28. September 2020 auf dem Netzfest der re:publica 2020. (33:53 Min.) In the conversation, Julia Reichardt, expert on artificial intelligence and data protection and Fellow in Residence at the Mozilla Foundation, and Sven Oswald, moderator Read more