As floods as becoming more frequent and more severe forecasting of such events is crucial. The recent example in Bavaria (Germany) of the Danube river (2nd longest in Europe) has demonstrated the role of forecasting to spur adequate behavior of people living in areas at risk of flooding. With the weather forecast announcing lots of rain for a large area the forecasting of floods needs to follow closely these trends. It is not only a question of expectations, but an issue of adaptive expectations for people to adopt appropriate precautions. In retrospect the early forecasts turned out to be fairly accurate in terms of the peak of flooding to be expected in June 2024. The Bavarian “Hochwassernachrichtendienst” (no joke, one word) forecasted on the 2nd of June about 7.50 as the peak to be reached in 2 days in the city of Kelheim. This was beyond the usual 4 warning levels based on an escalation scale. The forecast was beyond the frequent flooding levels established in the last decades. People and emergency services would have to adapt their expectations accordingly. Renewing forecasts is essential to guide people and services in their efforts to deal with emergencies and repair damages as flood levels recede. Management of crises critically depends on forecasting even if they are obviously prone to error margins which should usually be reported as well just like in weather forecasts. Adaptive expectations are key in combination with forecasts to ensure survival.















(See image). ChatGPT provides a more careful definition as the “crowd” or networked intelligence of Wikipedia. AI only “refers to the simulation” of HI processes by machines”. Examples of such HI processes include the solving of problems and understanding of language. In doing this AI creates systems and performs tasks that usually or until now required HI. There seems to be a technological openness embedded in the definition of AI by AI that is not bound to legal restrictions of its use. The learning systems approach might or might not allow to respect the restrictions set to the systems by HI. Or, do such systems also learn how to circumvent the restrictions set by HI systems to limit AI systems? For the time being we test the boundaries of such systems in multiple fields of application from autonomous driving systems, video surveillance, marketing tools or public services. Potentials as well as risks will be defined in more detail in this process of technological development. Society has to accompany this process with high priority since fundamental human rights are at issue. Potentials for assistance of humans are equally large. The balance will be crucial.

















