For many artists it takes years before they find their idiosyncratic style. Testing different forms of art before zooming in on a particular style of art is the common trajectory for most artists. Maybe the art marker and collectors of art are in search of a “defining style” for an artist so the uniqueness becomes more easily identifiable. Being part of a group of artists has been beneficial as well. The “Neue Nationalgalerie” in Berlin makes this development of an artist, in this case Lygia Clark transparent through the organization of a retrospective devoted to her evolution from abstract paintings towards participative and more organic forms of art. Berlin offers to interact with the pieces at the exhibition. You become part of the exhibition and the happening of art instantaneously. The form stays the same, the persons interacting change permanently. The piece of art is never the same. Just the idea of it thrives. In the Corpo Colletivo the performers wear an overall, all of them are linked to each other and movements happen organically as a group rather than individually. This is like a tutorial in sociology as individuals move as part of a collective body and feel the embeddedness and multiple links to other persons (Image: Corpo Collectivo 1970, exhibit in Berlin 2025)




























The AI ChatGPT is advocating AI for the PS for mainly 4 reasons: (1) efficiency purposes; (2) personalisation of services; (3) citizen engagement; (4) citizen satisfaction. (See image below). The perspective of employees of the public services is not really part of the answer by ChatGPT. This is a more ambiguous part of the answer and would probably need more space and additional explicit prompts to solicit an explicit answer on the issue. With all the know issues of concern of AI like gender bias or biased data as input, the introduction of AI in public services has to be accompanied by a thorough monitoring process. The legal limits to applications of AI are more severe in public services as the production of official documents is subject to additional security concerns.
(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.


