Roberta Leonie Claude Fischli
Postdoctoral Scholar, Political Science
Bio
Roberta Fischli is a postdoctoral scholar in the Department of Political Science at Stanford University. Her research focuses on the social and political impact of artificial intelligence (AI), with a particular focus on how novel AI systems can promote personal freedom and democracy.
Roberta was previously a Visiting Faculty Researcher at Google, where she worked on AI agents and value alignment. Previous research appointments include the University of California Berkeley, Georgetown University, and the University of St. Gallen. She is a research affiliate at the Machine Intelligence and Normative Theory (MINT) Lab at Australian National University, led by Seth Lazar.
Roberta holds a PhD (summa cum laude) in International Affairs and Political Economy from the University of St. Gallen. Her dissertation monograph "Freedom after Algorithms" investigates the changing role of freedom in the digital age. Her research has appeared in Perspectives on Politics, the European Journal of Political Theory, and History of Political Thought, among others. Roberta also works as a freelance journalist.
Honors & Awards
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Postdoctoral Mobility Fellowship, Swiss National Science Foundation (2025 - 2027)
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DIA prize 2025 for the best dissertation, DIA Program Committee (International Affairs and Political Economy), University of St. Gallen (2024 - 2025)
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Mobi.Doc, University of St. Gallen (2022 - 2022)
Professional Education
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PhD, University of St. Gallen, International Affairs and Political Economy (2024)
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MA, University of Zurich, Political Economy and Philosophy (2018)
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BA, University of Zurich, Political Science and Modern History (2013)
All Publications
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Empowering Digital Democracy
PERSPECTIVES ON POLITICS
2024; 22 (3): 819-835
View details for DOI 10.1017/S1537592724000409
View details for Web of Science ID 001190899200001
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Data-owning democracy: Citizen empowerment through data ownership
EUROPEAN JOURNAL OF POLITICAL THEORY
2024; 23 (2): 204-223
View details for DOI 10.1177/14748851221110316
View details for Web of Science ID 000828259900001
https://orcid.org/0000-0001-7717-2108