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…
Bundeszentrale für politische Bildung (2018): fluter. Thema: Daten. Nr. 68. Magazin Issue on “Data” (in German) with various articles on data economy, data protection, social scoring, artifical intelligence, predictive policing and more. “Wenn es nichts kostet, bist du das Produkt. Diese Weisheit basiert auf der Erfahrung mit Konzernen wie Facebook Read more…
BR Podcast. Planet Wissen (2019): Digitale Verbrechensvorhersage – wie ermitteln Algorithmen (Audio, 33:00 Min.) The broadcast deals with the opportunities and risks of predictive policing in Germany and the United States. Im Rahmen der Reihe „IQ – Wissenschaft und Forschung“ beschäftigt sich die Sendung mit den Chancen und Risiken vorhersagebasierter Read more…
Mühlhoff, Rainer (2020): Prädiktive Privatheit: Warum wir alle “etwas zu verbergen haben”. In: #VerantwortungKI – Künstliche Intelligenz und gesellschaftliche Folgen, hrsg. von Christoph Markschies und Isabella Hermann. Bd. 3/2020. Berlin-Brandenburgische Akademie der Wissenschaften. Rainer Mühlhoff provides an overview of modern forecasting systems (machine learning models) already in use, describes their Read more…
Kaltheuner, Frederike (2016): Understanding predictive privacy harms. Talk at the 10 th edition of the International Journalism Festival, 06-10 April, Perugia (09 April, Hotel Brufani – Sala Perugino) In this talk, Frederike Kaltheuner (University of Amsterdam) provides an example of the concept of predictive privacy harms. What does it actually Read more…
Daten, Algorithmen, Kontrolle der Zukunft. Big Data in der digitalen Gesellschaft – Anwendungen und Zweifel. Ringvorlesung an der Universität Hamburg vom 20. November 2017 bis 29. Januar 2018. The lecture series on Big Data and Doubt, from November 20, 2017 to January 29, 2018 at the University of Hamburg, addresses Read more…
Leopoldina – Nationale Akademie der Wissenschaften (2018): Podcasts zu Digitalisierung und Privatheit, Berlin. The podcast series “Digitization and Privacy” contains short statements by scientists on the new technologies of data collection and processing and asks from different perspectives what the extensive data processing is used for, for example for forecasts Read more…
Media Smart e. V. (2019): #Nachgeschaut – Big Data. Erklärvideo, Köln. The explanatory video contains a brief definition of Big Data (storage, analysis and processing of data), describes where data is created, who it benefits (advertising, predictive policing, surveillance and education, e.g. the Social Credit System in China, therapy options, Read more…
Appcamps (2021): Unterrichtsmaterial „Big Data“, Hamburg. The teaching material is aimed at students from year 8 and is divided into three sections. In the introduction, the term “Big Data” is briefly introduced with the assignment to examine a Big Data application and to evaluate it using questions. Then it is Read more…