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.

Citizens Gardens

There are multiple ways to link citizens to gardens. Most people would link citizens to the property of their own garden. This is more the perspective of people from the countryside. The aim of citizens who can afford it have a garden, many others wish to have one and all of them enjoy public garden spaces. An intermediate version of the public versus private property of citizens’ garden is the joint ownership of groups of like-minded people to work together in the shared property or rented garden space. The recreational and health effects are well documented, if care is exercised with utensils etc. Spring is the ideal time to join projects again as the results of a little bit of gardening will be visible and enjoyable for several months afterwards. Gardens are also meeting points for people of all walks of life as in the vicinity of the European Parliament in Brussels. The Citizens’ Garden has a different function to people gardening there. When you puzzled about Europe after a visit to the Parliament or the Museum of the History of Europe, then it is time for a stroll and relax in the garden nearby.
Alternatively, the Exhibition Centre of Tour & Taxis in Brussels not too far away from the North train station has an impressive indoor garden for the times of rough weather conditions. At the time of the book fair culture in the indoor garden made a splendid combination. There is a green version of Europe. It is like a small plant. It needs a lot of time and care to grow.

Causal Benefit Model

In the field of medicine we move more and more towards precision medicine. Previously, the term of personalized medicine was used which suggested to a certain degree that a personalization might be feasible. The budget constraints have forced us to change the term to avoid unrealistic, untenable promises. In the field of cardiology scientific advances advocate to shift from a risk-based model of treatment to a causal benefit model. (Kohli-Lynch et al. 2024 Link). Long-term benefits of a treatment are more promising, if the treatment addresses the causal mechanisms at work. It is wide spread practice to deal with general risk profiles as guidelines as the precision medicine based on a causal benefit model is far more laborious since to search the causal mechanism at work requires additional testing of hypotheses. This becomes immediately clear if genetic causes enter into consideration. Nevertheless, medical research advances more and more in this direction. Genetic testing has been shown to be useful in analyzing and treating issues like sudden cardiac arrest (in survivors). We are somehow aware that genetics may play a role here, but we shall need a lot of additional studies to make the causal benefit model a feasible option for widespread applications. Targeting research in this field will offer new avenues for precision medicine in the 2020s.

AI and PS

AI like in ChatGPT is guided by so-called prompts. After the entry of “what is AI” the machine returns a definition of itself. If you continue the chat with ChatGPT and enter: “Is it useful for public services” (PS), you receive an opinion of AI on its own usefulness (of course positive) and some examples in which AI in the public services have a good potential to improve the state of affairs. 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.
This does certainly not preclude the use of AI in PS, but it requires more ample and rigorous testing of AI-applications in the PS. Such testing frameworks are still in development even in informatics as the sources of bias a manifold and sometimes tricky to detect even for experts in the field. Prior training with specific data sets (for example of thousands of possible prompts) has to be performed or sets of images for testing adapted to avoid bias. The task is big, but step by step building and testing promise useful results. It remains a challenge to find the right balance between the risks and the potentials of AI in PS.

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.

Wage Minimum

A wage at a minimum level is frequently lower than the minimum wage. Most EU countries have a legal minimum wage that should protect against poverty risks at low levels of wages. Over decades it has not yet been possible to raise all low wages to this level. Le Monde (Béatrice Madeline et Aline Leclerc) has published on April 3rd a comprehensive analysis of sectors and people concerned with this difficulty to make a decent living while earning the minimum wage. In France (La désmicardisation), as in many other countries, it is difficult to earn just a bit more as the minimum wage because both employers and employees may lose social benefits if they just earn some hundred € more than the legal minimum wage. For all those persons who do receive only a wage even below the minimum wage getting stuck in a poverty trap is very likely. The number of working hours is then often is the only option to make ends meet your needs. Put bluntly, you work additional hours and/or take a second job to complement the lack of earning a wage at the minimum level. Public procurement that makes the application of the minimum wage compulsory and controls this application effectively benefits society as a whole. Lots of infrastructure projects, urban and rural development receive public support. The conditionality to pay the minimum wage + X should be a „conditio sine qua non“. The millions of workers at the lower end of the wage distribution have a power at the ballot box, which continues to be underestimated in many European countries. The EP elections on June 9th will probably alert us about the lack of faith in a bettering of living and working conditions of those persons coping with wage minima.

Home Delivery of everything ! Working Conditions

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.

DA! Exhibition Berlin 2024

Fertility Growth

The first association of fertility and growth is likely the growing of fertility rates in a country or region. Only macro economists associate the growth or decline of fertility with the macroeconomic consequences of more or less economic growth. Countries with higher fertility rates in most cases have higher growth rates as parents spend more on food, clothes, mobility and education. Accommodations are changed, adapted and refurbished. Estimates of increased consumption per child by economists range from 500.000 to almost 1 million in the highest developed countries. Children are a country’s wealth, but they also cost a fortune in monetary terms. Good news for the economy if families keep spending independent of economic cycles. More children keeps dedicated shops running or even a whole sector of the economy. In recessions the downward pressure in this sector becomes an additional challenge not only for the families but with ripples-on effects for the whole economy and society. If you see shops closing which has sold furniture for children for the last 15 years then the realization of an economic downturn becomes also more real. Sometimes the parallels in the news of declining fertility and increases in pensions do not square well with the fitness for the future or the future orientation of a society. Democratic voting rights that give families more weight in elections could change this. It is not yet on the political agenda.

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.

Fertility BPS-SPB

Fertility is another example of the co-determination of the biological, psychological and societal spheres of life. The latest available data for Germany and Sweden in 2023 show a remarkable decline of 10% in the seasonally adjusted Total Fertility Rate (TFR) in both countries (Bujard, Andersson 2024). The TFR was at 1.3 in Germany and 1.5 in Sweden. This means both countries are well below their population replacement rate. In both countries the populations will shrink further. There are no easy answers to the question: why?
The co-determination of the biological, psychological and societal spheres of life seems to be combined driving force. The biological clocks are ticking for women who delayed birth. Maybe pollution of drinking water or PFAS, nanoparticles of plastics disturb fertility. Psychological reasons such as increased anxieties due to the Covid-19 pandemic, lock downs or closed schools have left parents without adequate support for 2 years. Isolation or loneliness could have delayed partnerships and fertility as a consequence. The social environment has also provided additional uncertainty as the cost of living has risen and affordable housing for families is scarce in both countries.
We have probably underestimated the effects of the “Zeitenwende” on people’s mind sets. Sweden has suddenly sought to join NATO to achieve a broader military safety net for its people. In Germany the experience of damages due to war or as a consequence of Russian occupied territory is very present in people’s mind. The war of Russia in Ukraine may have increased uncertainties, anxieties beyond the immediate effects of higher living costs, interest rates or prices for energy. At best fertility might only be delayed for some years, but the consequences of shrinking populations need to be taken seriously. Making societies more welcoming for children and their parents is part of the solution.

Sleeping BPS-SPB

Sleeping is a good example of the co-determination of the biological, psychological and societal spheres of life. The environment with the daily cycles of light and dark as well as the social norms of work and rest determine the circadian cycles of hormones. Shift work or otherwise disrupted sleep patterns depend on social norms like regulation of noise or light in cities. Healthy sleep patterns, therefore, depend to a large amount on regulation and implementation of those social norms. Birthday parties are tolerated, but much less the irregular partying in shared housing with lots of neighbours. Reducing social contacts during Covid-19 led to the changes in sleep patterns as well.
The psychological determinants of sleep go well beyond the world of dreams as theorized by Freud. Nowadays, we investigate all sorts of behavioural patterns that have an impact on sleeping like “bedtime technology use” of smartphones or the ability to switch off thinking of problems. Sleeping is a particular functional state of our mind. A lot of sorting of daily impressions into memory occurs during the different phases while sleeping. Persistent disrupted or impeded sleep is recognized as torture in severe cases. Stress at work or working overtime is also a major cause of sleep disorders.
The biological indicators used to investigate sleep have revealed a lot of links of sleep and the hormones of melatonin as well as cortisol. Testing has become more accessible and provides good indicators of how the biological clocks tick within our bodies.
However, we are only at the beginning of the analysis of more complex interactions of the multiple forms of interaction of the bio->psycho->social (BPS) as well as the social->psycho->bio (SPB) co-determination of sleeping. Scientific research is faced with a steep challenge as the direction of causality is not uniform except in very controlled experimental settings. Maybe the arts have coined and popularized a useful term in this respect. “I am in a New York state of mind”.
(Image: extrait of Magritte. La clairvoyance, 1936 and The cultural context of aging, Jay Sokolovsky)


Kinder verstehen direkt, dass es sich lohnt, Korallenriffe zu erhalten. Plastikmüll in den Meeren gefährdet die Korallenriffe und die bunte Vielfalt an Fischen, die darin leben. Ein kleines Theaterstück dazu von Kathrin Brunner begeistert Kinder, weil es sie erleben lässt, wie einfach Lösungen aussehen können. Den großen Leuten zeigen, wie traurig die Welt aussieht ohne die farbenfrohe Pracht der bunten Fische, wird sie schon zu Veränderungen bringen. Das Theaterstück und Buch dazu wurde am 16.3.2024 im FEZ in Berlin aufgeführt. Das Figurenspiel mit überleitendem Refrain, das vom Publikum gleichsam der Promenade in den „Bildern einer Ausstellung“ (Mussorgsky) mitgesungen haben, bildete jeweils eine gelungene emotionale Überleitung und Aufmerksamkeitspause. Wir wünschen uns noch viele kleine und große Besuchende für diese Aufführungen. Die Kinder werden es uns schon lehren, den blauen Planeten noch zu retten.


The biographies of painters, composers or artists in general can be reconstructed by use of their major works. The biography of René Magritte by Eric Rinckhout (2017) has chosen this way of a retrospective in images and explanatory texts. The biography is built around 50 major images starting with the first one by Magritte at the age of 28. “Les réveries du promeneur” (see below) deal with the confrontation of Magritte with death, suicide and the difficulty to find rational answers to all those questions of why this happens and what becomes of people who experience such a tragedy.
His own childhood was affected by such an event concerning his own mother who suffered from depression. Coping with the evolution of psychic illness over years and the absence of a supportive father have posed a steep challenge for the young person. Creation of art became a coping strategy as well as a relief for those who manage to eventually cross the bridge into their own life leaving behind the bad experiences. J.J. Rousseau was an influence on Magritte as well.
Finding your own destiny and your own style is a process. This process evolves over years. The chronological sequence of 50 images allows to follow the path taken. Thereby, it becomes possible to open up the personal learning and working trajectory of the artist. In retrospective perspective it seems often logical that one style or period of painting follows on from another one. However, in the forward living of the creative life many choices are heavily contingent on other circumstances. Influences of friends, exhibitions, reading, cinema, private or financial situations may determine the creative choices simultaneously or one at a time.
The chronological path of images writes a biography of a special kind. It allows to think in sequences just like in a sequence analysis as sociological methodology. Description, reconstruction, analysis, causality remain a challenge in our attempts to learn and understand more about biographies or the construction and reconstruction of life courses.


Die Schachnovelle von Stefan Zweig gehört seit langem zu den Klassikern der deutschsprachigen Literatur. Zuletzt hat Jean-Philippe Toussaint in seinem autobiografischen Roman « L’échiquier » dieses Werk nochmals gewürdigt. Die psychische Belastung der fortgeschritten Schachspielenden macht spannende Lektüre. Bei Stefan Zweig ermöglicht das kognitive Training mittels Schachspielen die Bewahrung vor dem drohenden Wahnsinn durch Isolationsfolter. Gedankliche Fokussierung auf das Schachspiel und Spielen gegen sich selbst im Gedankenexperiment werden Rettung und Flucht in virtuelle Welten. Dennoch hinterlässt die Intensität der Erfahrung Spuren. Absorption ins Game, heute als Gaming meist verharmlost, lässt sich in vielen anderen Lebenssituationen wiederfinden. Es kann zur Sucht werden und Personen komplett absorbieren. Alleine Rauskommen oder vom Trip runter kommen ist schwer. Glück haben diejenigen, die professionelle Hilfe suchen und bekommen können.

Paris 1830s

The music life in Paris in the early 19th century, almost 200 years before now, was incredibly rich. In 1828 the young Flotow arrived in Paris to receive lessons. The pianists Liszt, Chopin, Fields and Czerny passed or lived for longer times in Paris. The innovation in this period of romantic music and operas saw also a fierce competition among those talents. It was no easy task to find your niche to thrive in composition or in both performing and composing.
The 1830s had a rich urban bourgeoisie, which animated and indulged in festive events of live music and social life. Friendships of Chopin and Sand are a testimony for this. Similarly, the young Flotow and Offenbach paired to find their place in the Paris music salons and society of that time. The biography of John Field, written by Patrick Piggott (1973, p.73-81) supports this density of musical experience. The period is also characterized by the fast industrialization and the rise of the global trade. The musical life found refuge in the romantic period and more and more artistic performances by musicians. Theatres, opera houses, concert halls and private salons were meeting points of the upper social class which practices networking in rather closed circles with rather rigid routines and admission at the time.
In architecture the Operas became meeting points and a matter of national pride with National Operas contributing even to national identities. The opulent “Palais Garnier” in Paris was started in 1861 to become an iconic place in the new Paris with the huge boulevards à la Haussmann. The wealthy citizens cultivated a new lifestyle of a networked upper class that had the leisure to participate in the masses of modernity. Cultural events of all kinds filled newspapers and specialized editions. There were inner and outer circles of influence in the economic, military, political and cultural spheres.
Recommendation letters were a real currency for entry in each of these circles. Some of these social practices, have still a lot of currency even in 2024. In short, in the 1830s Paris was the place to be. Compositions of that time still fill concert halls today and their music is abundant on the new music platforms and streaming as well.


The game of chess has been subject of an ever increasing amount of literature. Not only historically the game, where two kings fight against each other, but the queens are the most powerful figures on the chessboard attracted a great deal of attention. We studied chess in books and watched live tournaments between the best players of the world. Most of this has successfully moved online and we have gotten used to losing against computers for almost all human beings some time ago. The internal federation of chess FIDE lists the top players male and female. The calendar of face to face events is still impressive. The federation operates somehow like a platform of players, as well as for players, to organize their lives as chess players. Anther kind of chess literature is the one that is constructed around the lives of chess players. Some characters get really absorbed into the mental or virtual world of the dialogue between 2 or more characters or players. The real world experience and the game on the board become intertwined or entangled. Losing or winning, to win or not to win, may unbalance whole personalities. Beyond the “Schachnovelle” von Stefan Zweig we have a new addition of fictional writing with autobiographical traits by Jean-Philippe Toussaint (2023) on our desks. « L’échiquier » is a story unfolding in 64 chapters just like the 8 x 8 spots on the chessboard. Of course, the story does not unfold in a linear fashion. It seems as if the players or opponents even change as the game unfolds. Maybe there are more than one game in action. Simultaneously as in some chess tournaments. Some games are blitz games taking just a few minutes, others go on beyond a lifetime. The experience of playing chess even against yourself has a psychological and sociological dimension. You can go round in circles for some or you are like “bowling alone” in the individualized society. About time to shed an additional light on the mystery of the chessboard. Self isolation with a chessboard was also a way of coping with the Covid pandemic. Some still suffer from long Covid and cures are not always easy to find.

L’échiquier, chessboard, Schachbrett

Error 444

The error message 444 is a not so rare encounter while surfing on the web. The error code 444 stands for the message that from the side of the server the connection is closed without any additional message. The occurrence leaves you without further indication of what exactly went wrong in building a connection to a web service or website. You just simply get shut out and that’s it. It may be tough on you if concerns your online banking or other access to vital services delivered through the internet.
In organization science and social science there are many new studies dealing with the finding, dealing, coping or handling errors. It has become much more acceptable to deal openly with errors, blunders or failures. From an individual as well as organizational perspective the cultures that deal openly with these events seem to have a certain advantage to overcome the consequences of errors at all or faster than others.
In some biographies failures are part of the lessons learned throughout life. It is deemed important to acknowledge failures or paths not taken for better or worse. Organizations just like individuals seem to learn more intensively from their failures or omissions than from everything seemingly running smoothly. Learning curves are faster also for “machine learning” if you have access to a huge data set which contains ample data on failures rather than encountering failures after release. Hence, the compilation of errors is an important part or early stage of a learning process. Failed today? Fail again tomorrow. You’ll be really strong the days after although it might hurt.

AI Collusion

In most applications of AI there is one system of AI, for example a specialized service, that performs in isolation from other services. More powerful systems, however, allow for the combination of AI services. This may be useful in case of integrating services focusing on specialized sensors to gain a more complete impression of the performance of a system. As soon as two and more AI systems become integrated the risk of unwanted or illegal collusion may occur.
Collusion is defined in the realm of economic theory as the secret, undocumented, often illegal, restriction of competition originating from at least two otherwise rival competitors. In the realm of AI collusion has been defined by Motwani et al. (2024) as “teams of communicating generative AI agents solve joint tasks”. The cooperation of agents as well as the sharing of of previously exclusive information increase the risks of violation of rights of privacy or security. The AI related risks consist also in the dilution of responsibility. It becomes more difficult to identify the origin of fraudulent use of data like personal information or contacts. Just imagine using Alexa and Siri talking to each other to develop another integrated service as a simplified example.
The use of steganography techniques, i.e. the secret embedding of code into an AI system or image distribution, can protect authorship as well as open doors for fraudulent applications. The collusion of AI systems will blur legal borders and create multiple new issues to resolve in the construction and implementation of AI agents. New issues of trust in technologies will arise if no common standards and regulations will be defined. We seem to be just at the entry of the new brave world or 1984 in 2024.
(Image: KI MS-Copilot: Three smartphones in form of different robots stand upright on a desk in a circle. Each displays text on a computer image.)

AI input

AI is crucially dependent on the input it is built on. This has been already the foundation principle of the powerful search engines like Google that have become to dominate the commercial part of the internet. The crawling of pages on the world wide web and classifying/ranking them with a number of criteria has been the successful business model. The content production was and is done by billions of people across the globe. Open access facilitates the amount of data available.
The business case for AI is not much different. At the 30th anniversary of the “Robots Exclusion Standard” we have to build on these original ideas to rethink our input strategies for AI as well. If there are parts of our input we do not AI to use in its algorithms we have to put up red flags in form of unlisting parts of the information we allow for public access. This is standard routine we might believe, but everything on the cloud might have made it much easier for owners of the cloud space to “crawl” your information, pictures or media files. Some owners of big data collections have decided to sell the access and use to their treasures. AI can then learn from these data.
Restrictions become also clear. More up-to-date information might not be available for AI-treatment. AI might lack the most recent information, if it a kind of breaking news. The strength of AI lies in the size of data input it can handle and treat or recombine. The deficiency of AI is not to know whether the information it uses (is in the data base) is valid or trustworthy. Wrong or outdated input due to a legal change or just-in-time change will be beyond its scope. Therefore, the algorithms have a latent risk involved, i.e. a bias towards the status quo. But the learning algorithms can deal with this and come up with a continued learning or improvement of routines. In such a process it is crucial to have ample feedback on the valid or invalid outcome of the algorithm. Controlling and evaluating outcomes becomes the complementary task for humans as well as AI. Checks and balances like in democratic political systems become more and more important.