Speech given at Int. Conference on Artificial Intelligence: Risks, Regulations and Roadmaps, Dec 7th 2023. The conference addresses the balancing act of regulation: seeking to ensure neither too little nor too much. While we'll present and discuss major societal threats posed by AI, we'll also consider the missed opportunities if stringent regulations hinder AI-based scientific, economic, and general human progress.

Short abstract

In this presentation we provide a comparative perspective on different governance initiatives on AI Ethics.

We argue that current attempts at regulating and steering AI towards socially desirable ends need to take into consideration how different political and institutional cultures shape AI-innovation pathways and how we reason regarding AI’s legal, and ethical implications. Taking a grounded versus universalist approach to AI Ethics allows to acknowledge the myriad ways through which actors are already engaged in the making of AI Ethics. This helps us to move away from a deficit-framing and on to a more constructive dialogue in debates about the future of AI in society.

Bio Nina Maria Frahm
Nina Maria Frahm is a postdoctoral researcher at the department of digital design and information studies, Aarhus University, currently pursuing a DFF funded research project on the making of AI Ethics in the European Union. As a scholar in Social Studies of Science, Technology and Society (STS), she has been working on differences in governance approaches to emerging technologies across countries and institutions and in a variety of domains, including biotechnology and neurotechnology.

Previously, she has been a doctoral researcher at the Technical University of Munich, a research fellow at the Harvard Kennedy School’s STS program and a junior researcher at the University of Quilmes, Argentina. She regularly translates her work for policy and wider audiences and has served, amongst others, as an internal consultant for the OECD’s Working Party on Bio, Nano and Converging Technologies.

Bio Joakim Juhl
Joakim Juhl is a senior lecturer at the Technical University of Munich and an associate of the Pioneer center for Artificial Intelligence. At TUM he is responsible for the STS and RESET elite master’s programs and the STS PhD school.

Juhl is affiliated as a senior researcher at the Innovation, Society & Public Policy group, where he leads the Responsible Quantum Technology group, and a coordinating member of the NSF funded ‘Traveling Imaginaries of Innovation’ Harvard project. Juhl’s work focuses on the governance of innovation including AI and the repurposing of science, connections to regional political imaginaries and innovation policies, modes of knowledge production and collaborations between Science and Industry.

He has previously worked at Harvard STS and Harvard School of Engineering and Applied Sciences, Aalborg University and the Technical University of Denmark.