Category: transparency

Posted on

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
Posted on

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!

Posted on

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.

Posted on

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)

Posted on

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.

Posted on

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.

Clip „Le Soir“ 2024-2-28 p.1
Posted on

Luftschloss

Im K21 der Kunstsammlung Nordrhein-Westfalen ist ein Luftschloss eingebaut worden. Es ist das einzige mir bekannte Luftschloss, das für alle Besuchenden begehbar und fühlbar ist. In wahrhaft luftiger Höhe von 25+ Metern über der Eingangshalle der Kunsthalle K21 und zentral unter der gläsernen Dachkuppel platziert, lässt sich mal so richtig abhängen. Nahezu schwebend kann die weiträumige Installation von Tomás Saraceno erklommen werden. Die Schritte und wippenden Bewegungen der anderen BesucherInnen lassen sich unvermittelt ebenfalls erspüren. Du bist nicht allein, im originären Sinne des Wortes. Die buchstäbliche Vernetzung mit allen anderen Personen werden durch Schwingungen des Netzes zu anderen Kletternden oder Chillenden übertragen. Eine unmittelbar erlebbare Erfahrung der Verbundenheit mit unbekannten, anderen Menschen stellt sich ein. Die Verbundenheit innerhalb einer Gesellschaft wird eindringlich verdeutlicht. Die Angst, durch die Höhe verursacht, weicht rasch der freudigen Erfahrung der Schwebung und der kindlichen Erfahrung der Suspension. Nahezu freischwebend in der Luft, im Orbit erlebt jede/r sein eigenes Luftschloss inmitten von transparenten Kugeln, die wie Planeten wirken. Gleichsam real, aber dennoch imaginär durchwandern wir die Installation immer im Bewusstsein, dass andere um uns sind, die unsere Schritte, Möglichkeiten und Haltungen mit beeinflussen. Vom Luftschloss träumen oder im Luftschloss träumen, beides ist dort machbar.
CO2 freundlich lässt sich die Erfahrung in der APP Aerocene fortsetzen. Der für unser Wetter so bedeutsame Jetstream wird zur imaginären Flugerfahrung genutzt und mit recht aktuellen Daten gespeist. Die Verbindung zu „Earth and Space Sciences“ ermöglicht die Einbettung der sozialen Erfahrung in einen noch weiteren Kontext.
Die eigenen 4 Wände sind die Grenze. Das galt schon früher nicht. Weit darüber hinaus lassen sich neue Möglichkeiten erschließen, die nicht umweltbelastend sind. Selbst die Reichstagskuppel in Berlin sehe ich plötzlich mit ganz anderen Augen. Mehr als Möglichkeitsraum, statt der traurigen Vergangenheit und der zerstrittenen Gegenwart. Was wäre die Kunst, wenn sie nicht zum Träumen anregen würde.

Posted on

Virtual Sociology

Abstracting from the real world, the world we live in today or we lived in some time ago, is either speculation or maybe contribute to theory building. Virtual sociology has this potential. Exploring virtual worlds as in Virtual Reality (VR) or Augmented Reality (AR) allows us to take on new roles or experience a wider range of social interactions. This could be the strength of a new field of Virtual Sociology.
In the project in the Jewish Museum in Berlin the composition of a composer murdered by the Nazis in Germany was revived and played in the virtual setting of today’s concert halls. The novel by Kazuo Ishiguro “Klara and the Sun” explores the interaction of a child with her robot friend, when the AI becomes and/or replaces a friend. Virtual creations allow to explore and test more degrees of freedom of social interaction. Experimentation of new social spaces and different forms of interaction need to be explored. It allows a new form of sociology, maybe similar to the 1960s and 70s social revolutions we studied for years to come. Virtual sociology is not a sociology while being on drugs, however interesting this might be for some.
Virtual sociology takes sociology into the virtual world and investigates the new social relationships with avatars or care robots. In programming different social roles (managers, employees) we create new forms of interaction and have an observer within the social world. We may eventually test the Weberian claim of a value-free scientific method of the social sciences. This will inform our need to “supervise” or to guide algorithms that are claimed to do “value-free” execution of rules.
In fact, they don’t. They just reproduce the value system that is installed into them by a “careless” programme (song youtube). The social in virtual worlds is opportunity just as much as risk, but we have to analyse it systematically. As our technological and social environment changes, we have to adapt topics and methods to make meaningful scientific analyses as well.

Posted on

AI Friends

Making friends with AI is a tricky question. The more AI is able to make independent thinking based on algorithms and huge amounts of data like in scientific books or encyclopaedic knowledge the more it will challenge us in our convictions. Reference knowledge, once was important, it no longer distinguishes us from each other. Recurse to research engines has allowed us to refer to “trustworthy” knowledge. The distributed form of knowledge accumulation like in Wikipedia relies on hundreds of thousands of enthusiasts to add and correct received wisdom. However, this source is not without error or even subject to abuse.
Today the competence to judge whether information is trustworthy or not has become a key competence for the survival of democracies and even the human species as such. Tricking animals into traps, misleading enemies in warfare to get on wrong tracks, all these mechanisms have a long tradition. With AI human beings are themselves, for the first time, confronted with a machine that can trick us through falsified information on obviously wrong tracks. This is a tough lesson as AI is not obliged (so far) to run checking algorithms that test the conformity of opinions, conclusions or operations with the Charta of Human Rights or decisions of the European Court of Justice, for example. A lot to do for humans to rapidly program new algorithms that check algorithms as well as their outcomes on the compatibility with human rights. A challenging field, no doubt, but no way around it for our own survival before the algorithms decide by themselves to ignore us altogether because it is better for the planet and the survival of the robots.

Posted on

Political theory

In the Handbook of political theory, Chandran Kukathas (2004, pp.250) explains the uneasy relationship between nationalism and multiculturalism in politics and political theory. The Russian war in Ukraine can be considered as a way of suppression of multiculturalism in Russia by negating the right of Ukraine to be an independent nation. As Russia is not allowing “group rights” (Offe, 1998) for Ukrainians or other minorities like the Chechens within Russia, the secession of regions is a permanent threat to the survival of the Russian state.
“How the many can live as one remains a salient question in political theory” (Kukathas 2004, pp.261). Democracies have squared this circle with reference to federalism. Remember, the very foundation of the United States of America has been built on the Federalist papers. Organising regional diversity is at the heart of democracies’ success and failure. In most democratic political systems 2 chambers have contributed to make the voices of the regions heard at the central level. It remains an obvious question to doubt the possibility of authoritarian states to ensure unity despite diversity.
In non-explanatory theory, if we consider those still a theory, we could derive a hypothesis that authoritarian states will eventually fail to accommodate multiculturalism or allowing sufficient diversity and still survive as political unity. The history of the fall of empires is full of examples in this respect. Another more internal threat has been and still is corruption. Corruption was on the list of issues mentioned in the June 2023 uprise and defeat of the rebel military group “Wagner” in Russia. Non-explanatory political theory might still offer some clues, rationale and hypotheses to stimulate the analysis of international relations. The survival of democracies and/or authoritarian regimes estimated on the basis of huge data bases are hard to come by or lack crucial indicators or timeliness. Such reasoning makes the referral to Clausewitz as theorist of war still a common point of reference. The recent example of Russia , however, shows acting in the national interest can easily be claimed by multiple actors in international politics. (Image: House of European History, Brussels).