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Regulating Artificial Intelligence: A True Team Effort

Lecture by Olivia Erdélyi, Mercator Visiting Professor for AI in the Human Context

Regulating Artificial Intelligence: A True Team Effort

Friday, 04/11/2022, 4 - 6 pm (CEST).
Location: Center for Science and Thought (Konrad-Zuse-Platz 1-3, Bonn), 3rd floor or via Zoom

Artificial intelligence increasingly determines our everyday life. In order to do justice to AI technologies and their regulation, it is necessary to look at legal, economic, social and anthropological contexts in equal measure. As part of the Mercator Lectures for AI in the Human Context series, Dr. Olivia Erdélyi, in her talk on "Regulating Artificial Intelligence: A True Team Effort", will address the question of importance of interdisciplinary and multi-stakeholder cooperation in AI regulation.

Prof. Dr. Olivia Erdélyi, Senior Lecturer at the University of Canterbury and international expert on AI ethics and policy with a multidisciplinary background in AI, economics, law, and political science, has been researching and teaching at the University of Bonn since October 2022 as the first Mercator Visiting Professor for AI in the Human Context. Her talk on November 04, 2022 kicks off the lecture series and programmatically focuses on collaboration: which demands and desires clash in the development and implementation of AI regulation?  How can communication between disciplines and between different stakeholders succeed? What is the role of international cooperation and transnational consistency? How straightforward is the practical implementation of AI regulatory requirements? In these and other questions, AI does not stand alone, but is one of many examples in the history of technological innovation and its impact on our society.  Only when AI technologies are understood as a nexus of different perspectives can we adequatly address its challenges.

The lecture will be held in English.

All Mercator Lecture videos are now accessible: click here


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Program Kick-Off

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February 24

AI and Responsible Journalism