Discussions in the social sciences about the fate of democracy have a long tradition. With the results of participation rates in elections for the European Parliament in 2024 weeks need to take up the challenge again. The book by Bryn Rosenfeld “The Autocratic Middle Class …” stated already in 2020 that autocratic regimes tend tp buy off democratic intentions through providing lots of jobs in the public sector which promise stable living standards and pensions to regime conformity. If the public sector crowds out private sector jobs this creates a tendency to lock in the current political system of autocracy. The analysis, however, lacks the explanation of the micro level sociological mechanism that made the “color revolutions” plausible in many parts of the world. Even the recent success of a government change in Poland in favor of pro European Donald Tusk would have been impossible if the buying of the middle class through public sector jobs is the overriding mechanism to avoid democracy to win the upper hand. Withholding funds to make public sector expansion more difficult or risky in for the longer term stability of an autocratic regime might do the trick. Autocrats have many enemies not only externally. The enemies from inside the society have multiple options for opposition as well. The other perspective that there are many enemies of democracy to be found within the public sector is another known challenge to democracy. Low turnout in Elections is a warning signal that we have to take very seriously and continue to act upon. (Image: Neue Nationalgalerie Berlin 2024 Extreme tension, explation on Ewa Partum)











The century-old tradition to produce miniature books has been revived and the miniature books have been widely distributed at the event. A side effect consists in the
325 years ago, Weigel the Elder has illustrated, edited and published such a tiny edition of the Bible. It is currently exposed in the treasure museum at the “
















(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.




