In French cinema Jean Gabin is a much adored person. Equally, Marlene Dietrich had, probably an even more far reaching international career. Both were accomplished and successful actors long before the 2nd world war broke out. In the U.S both fell in love and had a long lasting romance together. Their war time activities and “engagement” in fighting Nazi-Germany were extraordinary. It meant that both took active roles to use their charisma to mobilize people and soldiers to fight for freedom.
Shortly after the war then, both made a last attempt to work together in a movie production, but it could not unite the couple again. The “Deutsche Kinemathek” displays currently a page from the Diary of the “Diva” to underscore to what extent “Dietrich” was depressed about the break-up of their longer lasting love affair. Some say Gabin was the only person who quit her, all (most?) other relationships were terminated by the Diva. The junctions of biographies are hard to predict. The circumstances of the 2nd world war and internalized civic obligations to fight for freedom and democracy were wholeheartedly shared by both, but eventually they grew apart nevertheless. Tough experiences even for the much adored persons on the forefront of the stages worldwide. There seem to be many instances of repetition of the same story not only in movies, but also in real life.
Image: Deutsche Kinemathek Museum 2024-5 
Image History
The archives of the history of movies and/or television show to us the multiple ways how images capture our attention and memories. Visual narratives are an own category of our personal and collective memory. The wide range of visual experiences are a powerful way to influence. Not only the movies and stories matter, but the whole range of images associated with the cinema world. Poster collections, newspapers and today the so-called social media multiply the original images. The Deutsche Kinemathek allows a special, critical understanding of image history as Germany has been using and abusing images and movies in a very manipulating manner historically. The message is: do not take images for face value. The ways and techniques to manipulate images have been widely used and are all around us today. Whereas the mass media in previous decades have dominated the collective memories we have entered into an era with many more subcultures that evolve within their own bubble of images. An original attempt to cut 65 movies of German film history into less than 4 minutes is presented in the exhibition (Milkowski and Simbeni). It focuses on gestures and “les regards”, “Blicke”, how the actresses and actors seem to look at us. Eyes capture attention, and this as soon as we open our eyes as children. Our brain works as image recorder and our memory algorithms tend to favor image recognition while processing images continuously. We do not know much about our own image sorting algorithm or algorithms yet. Research on aging of the brain gives some hints. With declining short term memory the images stored in long term memory take the upper hand. This makes an understanding of the history of images even more important.
Deutsche Kinemathek
Just in the vicinity of the Potsdamer Platz in Berlin you’ll find the Deutsche Kinemathek, the museum movies, actors, actresses, directors and the history of cinema in Germany. There is a small specialized library in the Kinemathek that allows to dive not only into journals and books, but also video material, scenarios and accessories. Of course, you will find a lot of material on all sorts of movie stars (heroines) over more than a hundred years. The “Divas” of the industry take up a large part of the exhibition. “Marlene Dietrich” much more than “Hildegard Knef“, the former born and the latter lived for a long time in Berlin-Schöneberg (Berlin-Pretty-Hill as some locals call it nowadays). The 2 Divas probably caused the funny translation. Anyway, the hall in the Kinemathek which is exclusively devoted to Marlene Dietrich impresses with a lot of glamour and mirrors around.
For those with not only a biographical, but also life course interest in cinema cherish the public access to the library. The most impressive table there is the desk with access to the Ukrainian movies and about cinema in Ukraine. A list with QR-codes allows you to readily approach the recent developments before and during the Russian aggression on Ukraine (See image below). After all Potsdamer Platz in Berlin was a hot-spot of the cold war period in the divided Berlin. A little bit of a “Metropolis-atmosphere” can still be felt. The Kinemathek explains well what this is all about. 
Deutsch Deutscher
In English grammer we use comparative adjectives to express that something or someone has changed or undergoing change. Germany might have become more German. The second usage is to make comparisons not only between two points in time, but between two statuses or of two artefacts more generally. The statement “Deutschland wird deutscher”, therefore, intends to describe an ongoing process or the transition process from one state to the other. This statement as such does not offer any explanation or definition of the original state, nor of the second point of reference. It might just describe the dynamics or the direction of the dynamics. In this example it deals with social dynamics. Germany in the 21st century is posing more questions about its identity and future directions than some time ago. The artist Katharina Sieverding has put up this reflection as a poster on walls to provoke discussions about the way to identify and deal with German identities in the early 1990s, shortly after re-unification of the 2 parts of Germany (Image below from “Nationalgalerie für Gegenwartskunst, Hamburger Bahnhof, Berlin” 2024-5).
30 years later we are scared by a ruthless right-wing extremist and brutal movement that takes to the streets and commits crimes.
It is no surprise that the Higher Administrative Court in Cologne has confirmed that the “BfV’s classification of the party AfD and of its youth organisation as a “Verdachtsfall” (subject of extended investigation to verify a suspicion) as well as the publicising of this classification to be lawful“.
It is a step ahead to become “deutscher” if we battle out such decisions in courts rather than by force on the streets, although this has failed once in German history already. The poster action by Katharina Sieverding is a reminder to monitor and deal with these topics continuously, albeit the knifes may be coming in closer than before. Being frightened is no option in order to defend democratic values. 
May 1st
More people take to the streets on the 1st of May in Germany. The costs-of-living crisis with high inflation has increased the claims for pay rises for workers and adjusted wages for employees. We all have observed “greedflation”, i.e. excessive company profits in several sectors. Additionally, “shrinkflation” has affected consumers in their daily shopping experience. Political efforts to curb inflation have taken a long time to come about and most initiatives have ended already (Energy sector). This spurred a new drive for trade unions to come out in huge numbers to protest and claim adequate wage increases to cover the increased costs of living. In Germany the DGB informed on the annual 1st of May demonstrations across the country about a strong new entry movement of members of 400.000 persons. It is higher than the loss of members of the large baby boomer cohorts who retire.
Through a broad and engaged membership the pressure on higher wage settlements will persist. Companies have used the crises to generate extra profits. It is only fair that those employees who largely contribute to the success of a company will claim their share as well.
For society as a whole it is important to consider that the discrepancy between managerial pay and shop floor wages do not increase further. The social fabric of societies is in danger if perceived injustices grow. More radical forces can all to easily exploit this causing a severe danger for democracies. Meeting people on the 1st of May and joining forces across sectors and trades ensures that a society continues to build and rely on solidarity. High inflation times are a great reminder of the economic basics of societies in history as well as today. 
Find Trust
Societies have different levels of trust. Trust in politicians or political institutions has been researched a lot. Another example of trust is related to things lost and found. Losing an item on a train or a mobile phone somewhere are severe tests of the level of trust in a society. How likely is it that the item is going to be found and returned to you. We usually estimate the probability of the return of items as being rather low. The more we are surprised to find out that there are thousands of items found and returned. The Deutsche Bahn has a special service in operation to take care of lost items. Additionally, there are auctions of items found but nobody claimed the ownership of it in the following months. Not giving up on a lost item is the first step to find it again. It would be a nice test whether in high trust societies it is more likely to find something lost. If you have a higher trust that items will be returned you are also more likely to make the effort to claim the item back.
AI Disruption
Many scientists started to question the disruptive potential of AI in, for example, the military’s domain. The Journal of Strategic Studies featured 3 papers on AI and autonomous systems more generally. The major argument by Anthony King is the reliance of autonomous systems on other systems mainly human operators even in the background to get these systems off the ground and maybe back again. Not only logistic support but also satellite communication is needed to guide and protect the operations. In quoting Clausewitz, Anthony King stated that war is a “collision of two living forces”. Strategy and counter-strategy will co-evolve as will attack and defence.
Jackie G. Schneider and Julia Macdonald (2024) advocate the use of autonomous and unmanned systems for their cost effectiveness. Economic costs as well as political costs are lower for these new strategic weapons. Mass fire power from swarms of drones is much cheaper than nuclear warheads and the home electorate is assumed to be more willing to accept and support limited and more precisely targeted unmanned missions. The disruption potential of AI is huge but it is most likely an addition to the arsenals than replacing them. (Image 2 swarms of drones fly in the air above tanks, created by AI – copilot-designer 2024-4-29).
Digital Estonia
The progress of Estonia in going digital is quite advanced. The electronic identity card which allows data to be linked to health data and accounts or banking gives an impression of how far-reaching digitalization may go. Great steps have been taken to guide the population on the way to move towards the digital (only) world. Learning and coaching of a huge amount need to take place so that people do not abandon or get lost on the path towards “everything digital”. For the so-called digital natives, who have grown up with the sound of their smartphone at the bedside all the time, this move feels “natural”. Some experienced or silver workers got on track, if they were accompanied in suitable forms. The 65+ population might find it harder to adapt to the permanent use of digital devices for not only getting around in your city, but also to do your tax declaration, pay your dues and vote in elections.
Digitalization is not a goal in itself. It has advantages to reach communities in remote places or islands, but it might alienate older persons that have no other person around to assist them in the digital only world. An easy way to get some social science data to inform the debate is to refer to Eurostat and the surveys with information about the “overall life satisfaction” of people (EU-SILC). Checking for some major countries of the EU and neighbours of Estonia with less digitalization the differences are rather small. In terms of overall life satisfaction (16+ years old) Estonia has been catching up to the EU-average mainly between 2013 and 2021. Since then, stagnation at the EU-average is what the data tell. A quick testing of the hypothesis that the older persons (65+) might not see the past evolution as rosy is reflected in the EU-data as well. Good pensions seem to drive the “happiness” of older persons in the EU more than good digitalization. Eventually the two features of a society will have to go hand in hand to improve life satisfaction to higher levels. (Image: Data Eurostat EU-SILC Life satisfaction 65+, selected countries 2013-2023, retrieved on 2024-4-23, comparison with table all ages here, Data source)
Opera Politics
We know that sports and international politics have ample links. The holds true for Opera performances either due to the way they are presented or due to the content of the libretto. The opera Jeanne d’Arc (Giovanna de Arco, Jungfrau von Orléans) by Guiseppe Verdi was composed in 1844 and had its Premiere at La Scala in Milano 1845. The libretto is based on the drama written by the playwriter Friedrich Schiller. Later in the 19th century musical pieces followed that dealt with the court judging Jeanne d’Arc. The opera by Verdi creates a strong female voice and character which outperforms men around her. Obviously, she was and remains for many a quasi-mythological heroine. In short, this constitutes great plots for drama and operas. This is centuries old despite the rare occasions of more recent performances of Jeanne d’Arc in form of Verdi’s opera or other forms.
The Opera as arena of politics is currently tested in the Opera at Tallinn Estonia. Due to the aggression and occupation of Ukranian territory by Russia the plot of Jeanne d’Arc regained another European location of potential application. Ukraine pushed back the Russian invasion and struggles to win back its territory from the invaders. The performance of the Opera recreates an impressive Jeanne d’Arc in the person of Elena Brazhnyk who was trained at the National Tchaikovsky Music Academy of Ukraine. The evening inspired hope in many respects. Talents from Ukraine or trained in Ukraine reach out into to the world. Similarly, we have much reason to be inspired by courageous acts. Operas do politics. “Bravi”, as they say in Italian.
(Image: Opera Tallinn-Estonia2024-4-18)
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. 
AI and languages
A big potential of AI is in the field of languages. Translations have been an expert domain and a pain for pupils at school. In professional settings translations are an expensive extra service for some or a good source of revenue. AI has shifted the translation game to a new level. In terms of speed of translating large amounts of written text AI is hard to beat. In terms of quality the battle of translaters against AI is still on. For chess players the battle against AI has been lost some years ago already. It remains an open question whether translators can still outperform AI or just adapt to using the technology themselves to improve both speed and quality of translations. The European Union with its many languages and commitment to cultural diversity can serve even more language communities with documents in their own language than before at marginally higher costs. A panel on the 9th day of translations at the „foire du livre de Bruxelles” 2024 expressed their reservations with regard to the use of AI in translation of political text or speech. Misunderstanding and misinterpretation will be the rule rather than the exception with potentially harmful consequences. Checking the correctness of translations is a permanent challenge for translators and can be very time consuming. There is room for an AI-assisted translation, but similar to other fields of application of AI, relying exclusively on AI bears high risks as well. We should not underestimate the creative part of translators to do full justice to a text or speech.
AI and text
The performance of large language models (LLMs) with respect to text recognition and drafting texts is impressive. All those professions that draft a lot of texts have often decades of experience with using word-processing software. The assistance of software in the field of texts ranges from immediate typo corrections to suggestions of synonyms or grammatical corrections in previous word-processing software.
The improvement of AI stems for example from the potential to suggest alternative drafts of the text according to predefined styles. A very useful style is the “use of easy language”. This rewriting of texts simplifies texts in the sense that longer and more structured sentences are split into shorter ones, lesser-known words or acronyms are replaced by more common or simpler words. Some languages like German have a particular need to use easy language when it comes to administrative regulations and procedures. Public services that aim for inclusiveness of for example older persons or youth can become much more accessible if the use of easy language is spread more widely. Just keep in mind the large numbers of so-called “functional illiterates” (OECD study “PIAAC”) in all OCED countries.
AI can do a great job in assisting to reach a broader public with texts adapted to their level of literacy and numeracy competences. Webpage Designers have made use of Search Engine Optimization (SEO) for years now. The most common way is to use frequently searched keywords more often on your website in order to be found more often by search engines like GOOGLE et al. Additionally, AI allows to explain keywords, sentences or even jokes to you (Spriestersbach 2023 p.111). This may help in situations when cross-cultural understanding is important.
We have made use of optical character recognition (OCR) for a long time now in public services as well as firms and for private archives. AI is taking this “learning experience” to the next level by making use of the content of the recognized text. Predicting the following word or suggesting the next sentence was only the beginning of AI with respect to texts. AI can draft your speech to plead guilty or not guilty in a court. But we shall have to live with the consequences of making exclusive use of it rather than referring back to experts in the field. AI please shorten this entry, please! 
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.
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.
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.
Russian Angst
The title of a book “Russian Angst” by Thomas Franke summarizes the state of Russian society under Putin. It dates back to 2017, but the underlying process of Angst in the Russian society is increasing rather than diminishing due to the already 2 years long intensive hot war of Russia against Ukraine. The Russian Angst is a fear of a continued roll back of its authoritarian rule in Eastern parts of the world and its internal threat that its own people will claim more rights like freedom of speech, freedom of the press and effective democratic voting rights. In a dictatorship the “Angst” is a pervasive phenomenon which creeps into all spheres of live. Franke and Dornblüth (2023) describe the toxic society in Russia. Intoxication and torture of opponents are used by the Putin regime as a threat to suppress critical voices in Russia. Through this a climate of “Angst” is spread so that any internal opposition has to face very high risks to utter any discontent. The experience of a barbarian, totalitarian regime is well known. The threat to life and the presence of intimidation to any disobedient behaviour are strictly persecuted. Nevertheless, the need to think beyond the Putin regime is well under way. The more external and internal, real or imagined threats are countered with brutal force, the more the regime reveals its true kind of governance by force. This invites and leads to the strengthening of counter forces both internally and externally. It seems like box fight in the before last round of a very vulnerable, weakened and isolated boxer. Not many will bet on the likely loser and more countries who previously supported Putin will stop their erroneous policy. Russian Angst and loneliness will further increase. 
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.
AI and dialect
The training of Large Language Models (LLM) uses large data sets to learn about conventions of which words are combined with each other and which ones are less frequently employed in conjunction. Therefore, it does not really come as a surprise that training which uses standardised languages of American English might not be as valid for applications that receive input from minority languages or dialects. The study forthcoming in the field of Computer science and Language by Hofmann et al. (Link) provides evidence of the systematic bias against African American dialects in these models. Dialect prejudice remains a major concern in AI, just like in the day-to-day experiences of many people speaking a dialect. The study highlights that dialect speakers are more likely to be assigned less prestigious jobs if AI is used to sort applicants. Similarly, criminal sentences will harsher for speakers of African American. Even the more frequent attribution of death sentences for dialect speakers was evidenced.
If we translate this evidence to wide-spread applications of AI in the workplace, we realise that there are severe issues to resolve. The European Trade Union Congress (ETUC) has flagged the issue for some time (Link) and made recommendations of how to address these shortcomings. Human control and co-determination by employees are crucial in these applications to the world of work and employment. The need to justify decision-making concerning hiring and firing limit discrimination in the work place. This needs to be preserved in the 21st century collaborating with AI. The language barriers like dialects or multiple official languages in a country ask for a reconsideration of AI to avoid discrimination. Legal systems have to clarify the responsibilities of AI applications before too much harm has been caused.
There are huge potentials of AI as well in the preservation of dialects or interacting in a dialect. The cultural diversity may be preserved more easily, but discriminatory practices have to be eliminated from the basis of these models otherwise they become a severe legal risk for people, companies or public services who apply these large language models without careful scrutiny.
(Image AI BING Designer: 3 robots are in an office. 2 wear suits. 1 wears folklore dress. All speak to each other in a meeting. Cartoon-like style in futuristic setting) 
Need of War
It seems like a horrific idea to talk about the need of war. We might have deemed it outdated to read about the terrible love of war or about the strategy of war. However, the time of war is back in Europe and Eastern Europe feels the real threat and Ukraine the bombs hailing from Russia. Why does Putin love war? The love of war is largely driven by domestic issues. Staying in power for unliked authoritarian leaders is easiest if they indulge in external conflicts. Dictators love war because it makes it easier for them to sustain leadership through brutal force within the country due to a proclaimed external threat or even outright engagement in war. Democratically elected leaders know that they will leave office eventually in a peaceful way (exceptions like Trump are rare). Dictators use any force or terror necessary to stay in power. The love of war is part of this.
Hence, the need of war goes without questioning, if a country in decline or at risk of decline tries to uphold an inefficient, belligerent regime. Beyond rational reasons, such regimes will abuse ideation about national pride, the national interest and anything pertaining to some supposed myths of nationhood to justify its need of war. The dictators have all failed eventually as resistance against this need of useless war is found out by enemies either within or externally. But thousands or millions of victims will suffer. The pressure against the need of war has to rise internally from opposition as well as from alliances of democracies that do not need war to motivate their people to achieve the best they are able to deliver.
Therefore, the defence of democratic rule is, at the same time, a fight against the need of war by some doomed regimes. After winning the war comes the difficult task of winning peace. This means to create a state of affairs and a state of mind that can do without the need of war. If the external threat diminishes the internal threats might rise and have to be contained as well. Lots of challenges, even for mature democracies. (Image: Berlin 2022-10)
AI and S/he
There was hope that artificial intelligence (AI) would be a better version of us. Well, so far that seems to have failed. Let us take gender bias as a pervasive feature even in modern societies, let alone the societies in medieval or industrial age. AI tends to uphold gender biases and might even reinforce them. Why? A recent paper by Kotek, Dockum, Sun (2023) explains the sources for this bias in straightforward terms. AI is based on Large Language Models. These LLMs are trained using big detailed data sets. Through the training on true observed data like detailed data on occupation by gender as observed in the U.S. in 2023, the models tend to have a status quo bias.
This means they abstract from a dynamic evolution of occupations and the potential evolution of gender stereotypes over years. Even deriving growing or decreasing trends of gender dominance in a specific occupation the models have little ground for reasonable or adequate assessment of these trends. Just like thousands of social scientists before them. Projections into the future or assuming a legal obligation of equal representation of gender might still not be in line with human perception of such trends.
Representing women in equal shares among soldiers, 50% of men as secretaries in offices appears rather utopian in 2024, but any share in-between is probably arbitrary and differs widely between countries. Even bigger data sets may account for this in some future day. For the time being these models based on “true” data sets will have a bias towards the status quo, however unsatisfactory this might be.
Now let us just develop on this research finding. Gender bias is only one source of bias among many other forms of bias or discriminatory practices. Ethnicity, age or various abilities complicate the underlying “ground truth” (term used in paper) represented in occupation data sets. The authors identify 4 major shortcoming concerning gender bias in AI based on LLMs: (1) The pronouns s/he were picked even more often than in Bureau of Labor Statistics occupational gender representations; (2) female stereotypes were more amplified than male ones; (3) ambiguity of gender attribution was not flagged as an issue; (4) when found out to be inaccurate LLMs returned “authoritative” responses, which were “often inaccurate”.
These findings have the merit to provide a testing framework for gender bias of AI. Many other biases or potential biases have to be investigated in a similarly rigorous fashion before AI will give us an authoritarian answer, no I am free of any bias in responding to your request. Full stop. 
Corruption Watch
There is a persistent need to watch carefully whether corruption is involved in political as well as economic deals. Transparency Watch is doing a great job in reporting on corruption cases. In democracy we can talk openly about corruption but in authoritarian regimes it is life-threatening for yourself to talk and report on corruption. The case in Europe around the network of Eva Kaili continues to make headlines due to the ruthless abuse of rules the European Parliament. (Link to Le Soir, image below, 2024) The close monitoring of activities and lobbying of powerful industrial interests targeted on parliamentary candidates and officials will continue to be essential for the survival of democracy. The organization „Abgeordnetenwatch.de“ is doing just this. Investigative journalism needs to complement the work of NGOs in this field. Thanks to these efforts it has become much harder to cover up corruption. Only if the risk to be found out is a credible threat corruption can be contained. Let us watch out carefully and probably with the assistance of AI to uncover early any attempts of corruption.
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. 
Election Re-election
Politics is a lot about decision making, coalition building and communication strategies. Therefore, there have been well established election and re-election cycles in all democracies, even the so-called illiberal pseudo-democracies. The time span between elections is itself a constituent part of democratic practice. 4 years of office for an elected parliamentarian seems to be common sense across many countries. More intensive participation and election schedules have advantages in tighter checks and balances, but may have disadvantages with respect to democratic fatigue, i.e. the time and effort needed to stay informed and cast votes. “Liquid democracy” is a concept of decision making which requires highly engaged persons willing to get involved beyond average commitments. Delegation to politicians within parties and parliaments remains an effective version of democratic practice. Checks against corruption and illegal practices is a necessary condition of each system of delegation. Rapidly changing governments are similarly perceived as a risk to democracies as the repeated call to the ballot box might be unsettling more than calming the spirits.
Berlin in 2024 (like 2023) provides another lesson on the sense of elections and re-elections. The repetition of parts of the federal election in parts of Berlin was required by the constitutional court. Due to failures in correct provision of access to voting and voting material results might have been biased. According to an online reporting by the local radio station (rbb24) based on the official electoral statistics, the participation in the re-election decreased from 75% to 51% in the 455 out of 2.256 districts that repeated the election. There seems to be a high level of democratic fatigue in these districts where the re-election in general accounts of participation in elections marks a low point in achievement. It appears worthwhile to question the judicial decision to repeat the election to the drastic reduction of representativity of the re-election. In statistical terms we trade one form of bias against another form of bias with an unclear overall outcome.
Organising elections is a professional task and requires specific competences. As this is at the heart of democracies, we need to improve our organisation and surveillance of this fundamental democratic process. Repetition seems to be worse than other second or third best solutions. Investing in democracy starts also at the ballot box. Electronic voting is not a panacea, but might be part of the solution. (Image source: Landeswahlleiter Berlin, left: Erststimmenmehrheit, right Wahlbeteiligung, combined election + re-election) 