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…
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…
Baukhage, Christian (2017): Künstliche Intelligenz. Vortrag, gehalten auf der Tagung “Diggi17 – Enter Next Level Learning” vom 27. bis 29. September 2017 an der Universität zu Köln. Christian Baukhage, Prof. Dr. for computer science at the University of Bonn and seconded as an expert for artificial intelligence to the Fraunhofer Read more…
Schneider, Julia & Ziyal, Lena Kadriye. (2019). We Need to Talk, AI. A Comic Essay on Artificial Intelligence. In 30 years, will robots do all the unpleasant work for us? Or will they subjugate us to become submissive slaves? The debates on how Artificial Intelligence (AI) will change our lives Read more…
UnternehmerTUM (2020): Einführung in die KI, München. The online course “Introduction to AI” of UnternehmerTUM GmbH is aimed at a broad target group without prior knowledge. The aim is to convey the essential technical aspects and functionalities of AI in order to arrive at a general understanding of AI. Der Read more…
Young Economic Summit Schülerwettbewerb. The school competition YES! is a joint project of the ZBW – Leibniz Information Center for Economics and the Joachim Herz Foundation from Hamburg and is aimed at teams of students in grades 10 to 12. The students worked together with scientists from renowned research institutes Read more…
Tüftel-Akademie (2021): KI & Machine Learning – Intelligente Maschinen, Berlin: Junge Tüftler gGmbH. The training is aimed at teachers who want to teach the topic of AI & Machine Learning in secondary schools I and II. Die Fortbildung richtet sich an Lehrkräfte, welche die Thematik KI & Machine Learning in 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…