In this 40-minute talk, Rainer Mühlhoff discusses the social implications of artificial intelligence. He specifically addresses how AI negatively affects 7 of the 17 of the UN’s goals for sustainability: Equality, anti-discrimination, access to education, reduction of economic inequality and exploitation. He illustrates these societal implications of AI and argues Read more
Overview blog entry on how algorithmic systems and artificial intelligence can lead to discrimination. Various articles, tools and guides are linked to at the bottom of the page – making it a great entry point to learn more about this topic. Übersichtsartikel zum Thema Diskriminierung durch algorithmische Systeme und künstliche Read more
Das “Algorithmic Awareness Toolkit” ist eine komplettes Lehrmaterial zum Thema Algorithmic Awareness für die Hochschullehre (bzw. Erwachsenenbildung). Es beinhaltet entwickelte Stundenentwürfe zu den Themen: Black Box des Algorithmus, Personalisierte Werbung, Algorithmen und Fairness, Generative KI und Privatsphäre. Alle Stundenentwürfe beinhalten neben inhaltlichem Input auch interaktive Elemente und Diskussionsfragen. Das Toolkit Read more
In der ersten Episode der Dokumentarserie des Alan Turing Institute zum Thema Advancing Data Justice wird die wachsende Nutzung von Technologie und deren Auswirkungen auf die Gesellschaft untersucht. Die Forschenden analysieren vor diesem Hintergrund, wie diese Entwicklungen im nationalen Kontext unterschiedlich interpretiert werden können und beleuchten sowohl die Vorteile als Read more
The online course “Big Data Literacy” is an open educational resource that has emerged from the collaboration between the Center for Teacher Education at the University of Cologne, Grimme Research and the Grimme Research College at the University of Cologne. The aim of this course is to raise awareness about Read more
The Digital Defense Playbook is a resource designed to facilitate workshops about data and digital technologies with local communities. It was developed by the Our Data Bodies project and is split into different sections that cover a good range of data-related topics through group activities. There are over 80 pages 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
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
The UnBias Fairness Toolkit is a printable teaching resource that aims to promote awareness, stimulate “civic thinking” about how algorithms shape online experiences, and foster reflection ways to address issues of online unfairness. It consists of a handbook for facilitators, so-called awareness cards and several maps and worksheets. Das UnBias Read more
Heinrich Böll Stiftung (2021): Algorithmen und Diskriminierung. Interview mit Lorena Jaume-Palasí (Audio, 19:54 Min.), Berlin. As part of the “Böll.Interview” podcast series, Lorena Jaume-Palasí, founder of the Ethical Tech Society, answered questions from the Böll Foundation on the topic of artificial intelligence, algorithms and discrimination. Jaume-Palasí describes artificial intelligence and Read more