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Digital Society Blog

Making sense of our connected world

yellow background with 3 shelves in different, contrasting colours
Sonja Köhne | 2. November 2023

Between experimentation spaces and traffic light systems: Negotiating artificial intelligence at the company level

AI presents worker representatives with new challenges. At the same time, they also develop new approaches to negotiating AI in the interests of employees.

Wie beeinflussen KI-Anwendungen Kreativität
Melissa Laufer, Freia Kuper, Marvin Sievering | 26. September 2023

My robot did my homework: AI applications and creativity at the university

Is AI a creativity killer? We consider whether and how generative AI can be used to foster creativity at universities.

public interest AI
Theresa Züger | 21. August 2023

Public Interest AI – Quo vadis?

A lot has happened since the founding of our research group on public interest-oriented AI, in science, society and politics. We provide an insight.

Analysing Hugging Face helps us to understand the dynamics of the machine learning hype
Sami Nenno | 27. July 2023

Inside Hugging Face

Understanding what actors and organisations are on Hugging Face is crucial for understanding the current dynamics of open-source research in machine learning. 

Detecting easy language on the German web
Freya Hewett, Hadi Asghari | 2. May 2023

Lowering the barriers: Accessible language and “Leichte Sprache” on the German Web

How much of the German web uses understandable language? And how much of it is in Leichte Sprache? Our AI & Society Lab takes a closer look.

ecological sustainability is getting more and more important in the tech sector
Irina Kühnlein | 13. April 2023

Public Interest Tech: A take on the actors’ perspectives on ecological sustainability

We asked actors in the field of public interest AI how they deal with ecological sustainability. What do they know about it in general and what measures do they take in particular?

Picture shows a transparent umbrella from above. It stands symbolic for the AI Transparency Circle.
Theresa Züger, Daniel Pothmann | 24. March 2023

The AI Transparency Cycle

A common notion of AI transparency is to either make code public or explain exactly how an algorithm makes a decision. Both ways sound plausible, but fail in practice.

Man sieht mehrer Spiegel, die in unterschiedlichen Formen angeordnet sind und verschiedene Oberflächen, wie den Himmel, eine Hauswand und so weiter widerspiegeln. Das Bild steht sinnbildlich für die vielen verschiedenen Bedeutungen von autonomen Systemen in unserer Gesellschaft. You see several mirrors arranged in different shapes reflecting different surfaces, such as the sky, a house wall and so on. The image is emblematic of the many different meanings of autonomous machines in our society.
Thomas Christian Bächle | 31. January 2023

The age of machine autonomy?

Can machines be autonomous – or is it a human prerogative? This categorical question dominates many discussions on our relationship to purportedly intelligent machines. A human vs. machine rhetoric, however, does not get us very far.

Federal German states have their own approach of AI Policy
Laura Liebig, Anna Jobin | 16. November 2022

ArtificiaI Intelligence made in X: The German AI policy landscape

AI is also discussed at the subnational level. Laura Liebig and Dr. Anna Jobin asked themselves: Why do German federal states feel the need to individually issue AI policies?

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Du siehst Eisenbahnschienen. Die vielen verschiedenen Abzweigungen symbolisieren die Entscheidungsmöglichkeiten von Künstlicher Intelligenz in der Gesellschaft. Manche gehen nach oben, unten, rechts. Manche enden auch in Sackgassen. Englisch: You see railway tracks. The many different branches symbolise the decision-making possibilities of artificial intelligence and society. Some go up, down, to the right. Some also end in dead ends.

Artificial intelligence and society

How can we better understand the complex and reciprocal relationship between AI systems and social processes?

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