AI for the benefit of society

In this policy paper, the authors argue that trust and legitimacy in the state requires not only that it takes advantage of the quality improvements that generative AI offers, but also that state actors maintain the trust of citizens by acknowledging and advancing generative AI policy with the risks in mind.

Overall, maintaining social and institutional trust requires that the public sector embraces the possibilities that generative AI make avail-able — before the space and development of the technologies is completely controlled by
private actors.

About the authors

Claire Ingram Bogusz is an Associate Professor in Information Systems at Uppsala University. Her research looks at digital technologies and their effects on work and organisations, with a particular interest in technologies that have a collective element to them—for instance because no single actor controls them. She is also an affiliated researcher at the House of Innovation at the Stockholm School of Economics, where she also did her PhD. Prior to her research career, she trained as a lawyer and has degrees in economics, law and political science.

David Johnson is an Associate Professor in Information Systems at Uppsala University, and a Visiting Fellow at Kellogg College, University of Oxford. His research focuses on the practices around data and AI. He was previously a Senior Researcher in the University of Oxford’s Department of Engineering Science and held research posts in the Data Science Institute at Imperial College London and Oxford’s Department of Computer Science. He has advised the United Nations on big data and data science questions. He holds a PhD in Computer Science from the University of Reading in the United Kingdom.