The increase in fake news, the growing influence on elections, increasing false reports and targeted disinformation campaigns are not least a consequence of advancing digitalisation. Information technology is needed to put a stop to these undesirable developments. With intelligent algorithms and refined data analysis, fakes must be detected more quickly in the future and their spread prevented. However, in order to meaningfully recognize and filter fakes by means of artificial intelligence, it must be possible to distinguish fakes from facts, facts from fictions, and fictions from fakes. This book therefore also asks questions about the distinctions of fake, factual and fictional. The underlying theories of truth are discussed, and practical-technical ways of differentiating truth from falsity are outlined. By considering the fictional as well as the assumption that information-technical further development can profit from humanities knowledge, the authors hope that content-related, technical and methodological challenges of the present and future can be overcome.

The emergence of artificial intelligence has triggered enthusiasm and promise of boundless opportunities as much as uncertainty about its limits. The contributions to this volume explore the limits of AI, describe the necessary conditions for its functionality, reveal its attendant technical and social problems, and present some existing and potential solutions. At the same time, the contributors highlight the societal and attending economic hopes and fears, utopias and dystopias that are associated with the current and future development of artificial intelligence.