Benefiting from a multidisciplinary background in artificial intelligence, economics, law, and political science, Olivia is specialized in international financial regulation and AI & law. Her financial regulation research centers on the economic theory analyzing the optimality of financial regulatory and supervisory architectures and governance arrangements, which has emerged as a topic of crucial importance for policymakers
across the globe since the latest financial crisis. She is also interested in multi-agent settings and allocation problems in fiscal federalism research, and corporate law and governance issues related to large, cross-border financial groups. Her AI & law research line focuses on the daunting challenge of developing sustainable and consistent international AI regulatory and governance policies in collaboration with various international stakeholders from academia, industry, and government. She has been participating in interdisciplinary research projects and publishing in leading AI venues on topics ranging from fundamental theoretic AI research with a predominantly computer scientific focus to more applied issues revolving around the nowadays increasingly central question of how society should deal with the emergence of ever more pervasive AI technologies.
Prior to this role, she worked with several international law firms and European Institutions, such as the Court of Justice of the European Union and the European Commission, in the areas of corporate law and international financial regulation. As part of the worldwide efforts to revise financial stability frameworks in the aftermath of the latest global financial crisis, she contributed to European financial services and corporate group law policies.
- Erdelyi OJ. and Goldsmith J. (2018) Regulating Artificial Intelligence: Proposal for a Global Solution. New Orleans, LA, USA: AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES 2018), 2-3 Feb 2018. In Proceedings - AIES 2018: 95-101. http://dx.doi.org/10.1145/3278721.3278731.
- Baumeister D., Erdélyi G., Erdélyi OJ. and Rothe J. (2015) Complexity of manipulation and bribery in judgment aggregation for uniform premise-based quota rules. Mathematical Social Sciences 76: 19-30. http://dx.doi.org/10.1016/j.mathsocsci.2015.03.006.
- Erdelyi OJ. (2015) Twin-Peaks for Europe: State-of-the-Art Financial Supervisory Consolidation. Rethinking the Group Support Regime Under Solvency II. Düsseldorf. Heinrich Heine University Düsseldorf.
- Erdelyi OJ., Baumeister D., Erdelyi G. and Rothe J. (2014) Complexity of Manipulative Attacks in Judgment Aggregation for Premise-Based Quota Rules. Pittsburgh, USA: 5th International Workshop on Computational Social Choice (COMSOC).
- Baumeister D., Erdélyi G., Erdélyi OJ. and Rothe J. (2013) Computational aspects of manipulation and control in judgment aggregation. Duesseldorf: ESSLLI Workshop on Logical Models of Group Decision Making (ESSLLI-LMGD 2013), 1 Aug 2012. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8176 LNAI: 71-85. http://dx.doi.org/10.1007/978-3-642-41575-3-6.