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.
A comic essay that narratively explores AI and sustainability, showing how data-intensive technologies intersect with environmental concerns and inviting readers to think critically about technologically mediated futures.
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 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 […]