The annual science fair at Hannover is a kind of a show of things to touch and of those things that come to the public market in the near future. Most of the annual hype is about potentials of production. Rationalization, using few resources or innovative solutions of digitization are high on the agenda. Create your digital twin, save energy, make production more safe or cyber secured.
Robotics is another reason to visit the fair. Some 7 years ago I had my Sputnik experience there. The robotics company KUKA had demonstrated live the that assembling a car from pre-manufactured components takes just 10 minutes for the robots. Shortly afterwards the whole company was bought by Chinese investors. Roughly 5 years later we are swamped by cars from China. It was not that difficult to predict this at that time. Okay, we need to focus on more value added production and take our workforces (not only) in Europe along on the way. Reclaiming well-paid, unionized jobs in manufacturing, as Joe Biden does, will not be an easy task. Robots and their programming is expensive, but skilled workers, too. Hence, the solution is likely to be robot-assisted manufacturing as a kind of hybrid solution for cost-effective production systems.
Following the proceedings of the 2024 fair we are astonished to realize that visiting the fair is still a rather “physical exercise” walking through the halls. After the Covid-19 shock we expected a lot more “online content”. Instead we keep referring to webpages and newletters rather than virtual visits and tours. The preparation of the visit in advance remains a laborious adventure. However, the in-person networking activities in the industry are largely advanced by ease of exchanging virtual business cards and the “FEMWORX” activities.
This year’s Sputnik moment at Hannover is probably most likely related to the pervasive applications of AI across all areas of the industry and along the whole supply chain. Repairing and recycling have become mainstream activities (www.festo.com). Robotics for learning purposes can also be found to get you started with automating boring household tasks (www.igus.eu).
Visiting Hannover in person still involves lengthy road travel or expensive public transport (DB with ICE). Autonomous driving and ride sharing solutions might be a worthwhile topic for next year’s fair. Last year I thought we would meet in the “metaverse fair” rather than in Hannover 2024. Be prepared for another Sputnik moment next year, maybe.
(Image: Consumer’s Rest by Stiletto, Frank Schreiner, 1983) 
Transparent Publishing
New technology pushes transparency of publishing, journalism and science to new levels. Through the hyperlink structure of texts it is easy to link back to the sources of a text. What used to be long lists of references at the end of a text or in footnotes has become directly accessible through weblinks. Only paywalls may or may not restrict the fast and easy access to original sources. In writing online, this is a major additional feature of publishing in the last few years. Some online journals allow this for quite some time now, but there are lots of printed versions that stick to the read and be stuck approach of publishing.
In teaching I have been an advocate of “read the original sources” as the basic source of inspiration for authors. The transparency of the thought process and the evidence provided in whatever form should be traceable. In publishing this transparency allows to exclude the copying of thoughts or unreflected referencing.
However, the task to check for the validity of weblinks and the updating is an additional task. 500+ blog entries with an average number of 2 weblinks per blog entry makes this a job of its own. Testing of 1000 weblinks is something you need a software or plugin which alerts you to “broken links”. The maintenance of a webpage, therefore, increases substantially as the content increases. Reorganisations of webpages make the follow-up of links sometimes quite hard. Projects like the general archives of the web and webpages are very important to ensure the transparency of publishing in the short, medium and long run. The archives of today look more like machine rooms than the splendid archives or libraries of the past and present. 
AI Reader
In the middle of the hype around AI it is useful to take stock of the reflection and evolution of AI. In my own analyses and writings on AI it evident that a narrowing of focus has taken place. Whereas before 2022 the writing dealt more with digital technologies in general. The links to the literature on the social construction of technologies was obvious. Algorithms and AI was a part of the broader topic of society and technology.
This has changed. The public debate is focused on “everything AI now”. We look at technological developments largely through the lens of AI now. Hence, my focus of assessments of technology from a societal perspective follows this trend. In a collection of blog entries on AI we try to demonstrate the far reaching changes that have started to have an impact on us. In the last few months the all encompassing concern about AI’s effect on us needs full attention of social scientists, policy makers, companies and the public at large. We can no longer leave this topic to the software engineers alone. By the way, they themselves ask us to get involved and take the latest advances in AI more seriously.
As a “flipbook” the online reading is rather comfortable (Link to flipbook publisher MPL). The pdf or epub files of the blog entries allow to directly follow the links to sources in webpages or other publications (AI and Society 2p 2024-4-18). The cycles of analyses and comments have become faster. Traditional book writing suffers from time lags that risk to make pubications outdated rather quickly. Dynamic ebook writing might bridge the gap between time to reflect and speed to publish or inform the wider public. The first update as .pdf-file is available here: AI and Society(2).
AI Travel
Playing around with AI it is nice to test take fun examples. Image you want to plan a vacation, then the use of AI is ready to suggest to you a couple of things to do. Of course, AI is eager to propose travelling services like transport or accommodation to you where it is likely to earn some commissions. So far, the use of the “Vacation Planer of Microsoft’s BING Copilot” is free of charge. In entering the time period and a region as well as some basic activities you’ll receive suggestions with quotes on the sources (webpages of public services from tourist offices mostly). It seems like trustworthy sources and the suggestions of D-Day activities in Normandy is a positive surprise to me. These are popular activities which attract huge international crowds every year.
Thinking further on the potentials it becomes evident that travel suggestions will be biased to those paying for ranking higher on the algorithms selection criteria, which are not disclosed. Entering into the chat with the AI you and AI can target more precisely locations and also hotels etc. You are disclosing more of your own preferences in the easy-going chat and probably next time you will be surprised to be recommended the same activities at another location again.
So far, I have bought travel guides or literature about locations to prepare vacations. This is likely to change. I complement my traditional search or planning with the “surprises” from AI for travelling. I rediscovered, for example, the public service of tourist offices and their publications ahead of the travel rather than the leaflets at the local tourist office. In order to plan ahead there is value in the augmented search and compilation capacities of AI. Drafting a letter in foreign languages is also no problem for AI. The evaluation of the usefulness of AI, however, can only be answered after the vacation. Outdated info or databases have a huge potential to spoil the fun parts as well. 
Repair Building
All buildings need repairs from time to time. For most of them the basic structure is solid enough so that isolation or maintenance will do. However, 100 years old buildings that have lived through 2 wars might have deep rooted deficiencies that are not visible at first glance. This can be observed in Berlin near the city center in a popular neighborhood with many visitors in „Schöneberg“ sometimes translated as „pretty hill“. The building at the crossroads seems to have been renovated only a few years ago, but the static of the building is so unstable that the city council has decided to block the whole crossing for circulation due to the danger of an imminent collapse of the building. The neighborhood has mixed feelings. It is great that the danger has been identified in time and blocking the road reduces the nuisance of traffic in the surroundings full of restaurants and cafes. The cover up of the repairs and renovation at the building is shocking as there appears to be just paint over basic structural faults. Construction work has failed to detect and prevent the static risks. An inspectorate that acts promptly to avoid bigger disasters is a societal asset.
Forest Management
Responsible forest management is key. To safeguard against the loss of biodiversity the management of forests can achieve a great deal as the study in Nature of 2024-4-10 has demonstrated. Reducing hunting by humans in dense tropical forests allows bigger species to survive and thrive compared to forests with easy access by roads. FSC certification of forests helps significantly to protect wildlife. The ability to ameliorate biodiversity of forests is assisted by the Forest Stewardship Council (FSC) through the responsible management, preservation and limitation of access to wild forests. This is an important message that in fact it is still possible to preserve wildlife also of larger species if we only really commit to the cause. It is well worth to support such initiatives and monitor the progress. Of course, any such success attracts new hunters and a continuation of the FSC efforts is needed for the benefit of the whole biodiversity on our planet as there is no planet B.
AI by AI
It has become a common starting point to use electronic devices and online encyclopedias to search for definitions. Let us just do this for artificial intelligence. The open platform of Wikipedia returns on the query of “artificial intelligence” the following statement as a definition: “AI … is intelligence exhibited by machines, particularly computer systems …“. It is not like human intelligence, but tries to emulate it or even tries to improve on it. Part of any definition is also the range of applications of it in a broad range of scientific fields, economic sectors or public and private spheres of life. This shows the enormous scope of applications that keeps rapidly growing with the ease of access to software and applications of AI.
How does AI define itself? How is AI defined by AI? Putting the question to ChatGPT 3.5 in April 2024 I got the following fast return.
(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.
Architecture Berlin
The annual exhibition of completed architecture projects in Berlin attracts people beyond the narrow circles of architects. You may take a walk through Berlin to view the actual realizations in 3D or 4D with people living, working or moving in these buildings. As social scientists we like talking or interviewing these people about their experiences. Urban planning and participation in urban development is important for city development in a democratic fashion. The combination of social, ecological, economic and technological concerns find compromises in urban renewal. The range of activities is remarkable. Living spaces have the most entries in the exhibition followed by offices and trade spaces. Education as well as public open spaces raise a lot of interest and funding currently. Climate change and adaptation to limited ecological resources ask for innovative solutions as well. Most projects in Berlin or by Berlin based architects deliver in this respect. The socio-ecological change needs a lot of actors to implement such changes and meet unprecedented challenges. The 60 projects represented for 2023 are the top of the iceberg but a lot remains to be accomplished in repairing old buildings and infrastructure as well. The DA! exhibition provides a democratic transparency of projects, which allows the public to learn about innovation and to make more informed judgments about what architecture can deliver for society.
Das Meer
Wir haben vielfältige Beziehungen zum Meer. Diese reichen von romantisch geprägten Gefühlen zum Meer, den Wellen und den Fischen bis zur wissenschaftlichen Befassung mit den Meeren, Mangroven und dem Klimawandel. 71% der Erdoberfläche besteht aus Meeren. Das sollte den Festlandbewohnenden eigentlich klar machen, wie wichtig Meere für unseren Planeten sind. „Ocean Literacy“ nennt die UNESCO das. Neben Lesen, Schreiben und Rechnen sollte die Literalität auf unsere Ozeane ausgedehnt werden bevor es zu spät ist. Verschmutzung der Meere passiert hauptsächlich im Verborgenen. Lediglich Beobachtung aus dem Weltraum kann die weitläufigen Routen der Verschmutzenden zumindest teilweise nachverfolgen. Vielleicht hilft die Rückkehr zu der romantischen Sicht auf die Meere eines „William Turner“ zu einer höheren Wertschätzung der Meere, dem Licht und den Wellen.
Die kleine Sammlung von Gedichten „Das Meer“, erschienen im Reclam Verlag, ist eine gute Reisebegleitung für Begeisterte des Meeres. Darin findet sich eine Vielzahl von renommierten Schreibenden, die ihre Faszination des Meeres zum Ausdruck bringen. Mein momentaner Favorit ist Wolfgang Borchert darin (S.41-42) „Muscheln, Muscheln“.
Muscheln, Muscheln, blank und bunt,
findet man als Kind.
…
Muscheln, Muscheln, bunt und blank,
fand man einst als Kind! 
AI Sorting
Algorithms do the work behind AI systems. Therefore a basic understanding of how algorithms work is helpful to gauge the potential, risks and performance of such systems. The speed of computers determines the for example the amount of data you can sort at a reasonable time. Efficiency of the algorithm is an other factor. Here we go, we are already a bit absorbed into the the sorting as purely intellectual exercise. The website of Darryl Nester shows a playful programming exercise to sort numbers from 1 to 15 in a fast way (Link to play sorting). If you watch the sorting as it runs you realize that programs are much faster than us in such simple numeric tasks. Now think of applying this sorting routine or algorithm to a process of social sorting. The machine will sort social desirability scores of people’s behavior in the same simple fashion even for thousands of people. Whether proposed AI systems in human interaction or of human resource departments make use of such sorting algorithms we do not know. Sorting applicants is a computational task, but the data input of personal characteristics is derived from another more or less reliable source. Hence, the use of existing and newly available databases will create or eliminate bias. Watching sorting algorithms perform is an important learning experience to be able to critically assess what is likely to happen behind the curtains of AI.
