Teresa Staiger I c: Sebastian Pfütze

Project Manager - reframe[Tech]

Teresa Staiger

Teresa Staiger is a political scientist and an expert in common-good-oriented artificial intelligence (AI). She analyzes AI developments from a critical societal and international perspective. As a Project Manager for reframe[Tech] at the Bertelsmann Stiftung, she shaped the project’s strategy on the responsible development and use of generative AI.

Her current work focuses on a study investigating the data foundations of foundation models, exploring how they can be designed to better serve the common good. The study’s findings will be published at the end of May 2025.

Previously, she led the multistakeholder project Tech-Exploration in der Wohlfahrt, a six-week program aimed at identifying meaningful AI application ideas in the welfare sector.

For the past two years, she has also published the German newsletter Erlesenes, a biweekly selection of curated articles, studies, and debates on AI and the common good.

Before that, she worked as a policy officer for the Forum Digitalisierung und Engagement project at the Bundesnetzwerk Bürgerschaftliches Engagement.

Photo credit: Sebastian Pfütze/Bertelsmann Stiftung

Latest posts of this author

Public interest organizations
Teresa Staiger
Events

Reflections on RightsCon 2025: Public AI, power structures, and human rights

How is the intersection of technology and human rights evolving? What role can the Public AI Stack, sustainable digital infrastructures, and collective action play in this context? At RightsCon 2025 in Taipei, activists, researchers, and decision-makers exchanged insights on these issues. reframe[Tech] was there and shares four key takeaways.
Teresa Staiger I c: Sebastian Pfütze
Teresa Staiger, Dr. Felix Sieker
19. March 2025
Political decision-makers
Publications

EuroStack – Shaping Europe’s digital future!

Our recent EuroStack report outlines how Europe can strengthen its digital sovereignty through homegrown infrastructure, fair innovation and reduced reliance on non-European tech giants!
Martin Hullin, Teresa Staiger
13. February 2025
Public interest organizations
Montage © angelafarina - stock.adobe.com

We need responsible data foundations for Foundation Models

The rapid spread of foundation models like GPT has sparked a lot of excitement but also raises questions about the values embedded in these technologies. This is especially true of the underlying training data, which significantly influence how AI models function and the results they produce. For organizations focused on the common good, the question should arise whether they would prefer models whose training data better represent their values and convictions. However, there is too little evidence so far. That’s why we will be conducting a study to take a closer look at the training data – to raise awareness among organizations and increase transparency in the use of foundation models.
Teresa Staiger I c: Sebastian Pfütze
Teresa Staiger
17. October 2024

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