Press release

AI and Us: Alexander von Humboldt Foundation podcast goes online

In the 10-part podcast series AI and Us, artificial intelligence (AI) experts from the Humboldt network report from their research field and answer the most important questions regarding artificial intelligence.

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Podcast cover: AI and Us - what Artificial Intelligence means for our lives
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Today, artificial intelligence runs washing machines and translation tools. In the field of medicine, AI helps doctors diagnose tumours. Virtually no other technology will trigger changes with as far-reaching effects in our day-to-day lives, our working lives and our society in the coming years. Consequently, the opportunities offered by AI will go hand-in-hand with risks. The changes will involve not only privacy rights and self-determination but also sustainability and global justice as well as Germany and Europe’s competitive strength.

Working together with the AI journalist Thomas Reintjes, the Alexander von Humboldt Foundation developed the 10-part podcast series AI and Us - What Artificial Intelligence Means for Our Lives. The ten episodes give centre stage to AI experts from the Humboldt Network who report from their research field: “How is AI already benefitting us today? How does AI learn? Will AI someday outstrip us?” are just a few of the fundamental questions that will be examined during the series. Socio-economic, legal and ethical aspects of AI and questions regarding sustainability, global equity, privacy rights, data protection and the relationship between humans and machines will also be explored.

“With the Alexander von Humboldt Professorship, our Foundation is also attracting leading international experts in the AI field to Germany and, in the process, supporting the German government’s national Artificial Intelligence Strategy. In this connection, we feel it is important to share Humboldtians’ expertise with many others outside of the science community and acquaint them with the potential AI has to offer. We are pleased to have found the ideal format for this with our new podcast”, said Enno Aufderheide, Secretary General of the Humboldt Foundation, at the launch of the podcast which, starting today, is available on all major platforms as well as the Foundation’s website.

The experts are:

Christian Becker-Asano

Humboldt alumnus Christian Becker-Asano, Professor of Artificial Intelligence and Human-Machine Interaction at Hochschule der Medien in Stuttgart

Porträt Martin Butz

Martin Butz, former Alexander von Humboldt Foundation Feodor Lynen Fellow and Professor of Computer Science & Psychology and Cognitive Systems at the University of Tübingen

Milica Gašić, Sofja Kovalevskaja Award winner and Professor of Dialog Systems and Machine Learning at Heinrich Heine University Düsseldorf

Tobias Matzner

Tobias Matzner, Professor of Media, Algorithms and Society in the Department of Media Studies at Paderborn University; former Humboldt Foundation Feodor Lynen Fellow

Daniel Rückert, Alexander von Humboldt Professor, Professor of Artificial Intelligence in Healthcare and Medicine at TUM Munich

Aimee van Wynsberghe, Alexander von Humboldt Professor of Applied Ethics of Artificial Intelligence at the University of Bonn

The podcast is available here via the iTunes player, or on the following platforms:

(Press release 1/2022)

Every year, the Alexander von Humboldt Foundation enables more than 2,000 researchers from all over the world to spend time conducting research in Germany. The Foundation maintains an interdisciplinary network of well over 30,000 Humboldtians in more than 140 countries around the world – including 61 Nobel Prize winners.

In the context of the Federal Government’s national AI strategy, up to 2024, the Alexander von Humboldt Foundation can fill up to 30 Alexander von Humboldt Professorships for Artificial Intelligence. These chairs help to thoroughly explore and utilise the opportunities AI holds for our future. They also serve to reinforce Germany as an internationally attractive and influential location in this important area.

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