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Léa Steinacker

I am a social scientist, bestselling author, and award-winning entrepreneur focused on how technology interacts with people, practices, and the planet.

In February 2024, the book on artificial intelligence (AI) that I co-wrote with Prof. Dr. Miriam Meckel, 
"Alles überall auf einmal: Wie Künstliche Intelligenz unsere Welt verändert und was wir gewinnen können", was published by Rowohlt Verlag. 

For about a decade, I have researched the widespread impact of emerging technologies like AI, with publications on a range of topics like automated facial recognition, synthetic voice generation, quantum computing, as well as my original framework of Code Capital. With my expertise in emerging technologies and their wide-ranging effects, I am a member of the AI Advisory Board of Ringier AG, one of Switzerland's leading media companies, and a lecturer at the University of St. Gallen, teaching courses like "Social and Economic Impacts of Artificial Intelligence". 

In 2018, I co-founded and am now the Executive Chairwoman of ada Learning to accelerate organizational change by identifying, transforming, and uniting
leaders who amplify innovation from within. Since its inception, ada has connected and worked with thousands of employees from DAX companies, SMEs, governments, and civil society organizations. 

Previously, I served as the Chief Innovation Officer of WirtschaftsWoche, Germany's leading business magazine, where I also covered the future of work and socio-technological change. Prior to joining Handelsblatt Media Group, I worked with social justice NGOs in Bosnia-Hercegovina, Rwanda, and the Democratic Republic of Congo. I was selected as a Forbes 30 Under 30 leader, one of Medium Magazine’s Top 30 Under 30 journalists, a BCG Thought Leader, and an Atlantik Brücke Young Leader. In 2011, I was awarded the Henry Richardson Labouisse Prize
 for independent research
I hold degrees from Princeton University (A.B.), the Harvard Kennedy School of Government (MPP), and the University of St. Gallen (PhD). 
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I regularly share my expertise in keynotes and lectures, enabling the audience to think deeply about the impact of transformative technologies. With a focus on the implications of artificial intelligence, I provide wide-ranging insights on the field's foundations, ethics, and business implications. I explore how automation is transforming different industries and emphasize how a more socially conscious approach to research and development can ensure that AI is deployed in a responsible and equitable manner. 

For speaking inquiries, please use the 
contact form below. 


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Rietsche, R., Dremel, C., Bosch, S., Steinacker, L., Meckel, M., & Leimeister, J. M. (2022). Quantum computing. Electronic Markets, 1-12. 

Kostka, G., Steinacker, L., & Meckel, M. (2022).
Under big brother's watchful eye: Cross-country attitudes toward facial recognition technology. Government Information Quarterly, 101761.

Suter, V., Meckel, M., Shahrezaye, M., & Steinacker, L. (2022, January).
AI Suffrage: A four-country survey on the acceptance of an automated voting system. In Proceedings of the 55th Hawaii International Conference on System Sciences.

Kostka,G.; Steinacker, L.; Meckel, M. (2021). Between Security and Convenience: Facial recognition technology in the eyes of citizens in China, Germany, the United Kingdom, and the United States. Public Understanding of Science.

Steinacker, L; Meckel, M.; Kostka, G. & Borth, D. (2020). Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination.  Proceedings of the 37th International Conference on Machine Learning Law and ML Workshop, Vienna.



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