These guidelines from AlgorithmWatch outline ethical principles for using generative AI, including transparency, accountability, and safeguards against harm, with a focus on practical policy and governance measures for organizations.
Workshop explaining how AI can reproduce discrimination through biased data, model design, and existing social structures. It treats discrimination as both technical and political, and provides materials for educators to help participants detect, understand, and counter algorithmic bias.
A comprehensive collection of educational resources on digital education and political education in a digital society. The platform provides background information, teaching materials, educational activities, multimedia content, and Open Educational Resources addressing digital literacy, media literacy, online participation, digital platforms, data protection, opinion formation, and the societal impact of digitalisation. Civic education on Instagram: Germany’s […]
A comprehensive Austrian resource hub providing educational materials, practical activities, guides, workshops, and information on safe, responsible, and critical use of digital media. The resources cover topics such as information literacy, artificial intelligence, misinformation, deepfakes, cyberbullying, privacy, social media, online safety, and digital participation. For example: Checking AI-generated information: Students verify texts produced by ChatGPT […]
A comprehensive collection of educational materials developed by klicksafe to support media literacy, digital safety, critical thinking, democratic participation, and responsible use of digital technologies. The collection includes teaching materials, worksheets, quizzes, videos, audio resources, apps, posters, and practical activities for educators, young people, parents, and schools. For example: AI and Me campaign cards: Easy-to-use […]
Article presenting example prompts and scenarios for using ChatGPT in civic education. It helps facilitators design tasks that support critical thinking, discussion of democracy, and reflection on AI’s role in society.
“MATTER” und “MEMES” bezeichnen Techniken, die von Journalisten entwickelt wurden, um Memes zu analysieren. Die Schritte können auch im Unterricht eingesetzt werden. A practical framework for analysing memes critically. The resource presents the five-step “MEMES” technique, derived from the “MATTER” method, covering Material, Emotion, Medium, Ethics and Situation. It helps learners examine a meme’s origin, […]
Sie haben Tausende Follower und sogar den blauen Haken: Bei der Bundestagswahl 2025 kamen im deutschen Kontext erstmals auch politische KI-Influencerinnen und Influencer auf. A short educational resource examining AI-generated political influencers on Instagram. It explains how virtual influencers can be difficult to identify, especially when AI use is not clearly disclosed, and presents the […]
Wem vertrauen wir mehr: Mensch oder KI? Nicht nur Schülerinnen und Schüler können Opfer des “Automation Bias” werden – auch Lehrkräfte sollten die Ergebnisse von KI-Tools reflektieren. A short educational resource explaining automation bias, the tendency to trust suggestions and decisions made by machines more than one’s own judgement. It uses the example of a […]
Analogue educational modules that make AI’s mechanisms and societal effects understandable without computers. They cover everyday algorithmic systems, self-driving cars, and automated decision-making, enabling young people to become active shapers and critics of AI rather than passive users