GovTechTalks: Digital Government in Estonia and The Netherlands: Autonomy in Decision-making and Government Decision-making
|When:||Th 10-12-2020 12:00 - 13:00|
This online and interdisciplinary talks series on digital government and society will take place twice a month on Thursdays at 12.00 CET. Registration is required and is free. The events will be widely publicized on social media and through different academic networks. Each session will include invited two speakerswho will present their research and engage with the audience’s questions.
Organizer: Prof. dr. Sofia Ranchordas
Seminar 10 December 2020, 12 PM CET:
Digital Government in Estonia and The Netherlands: Autonomy in Decision-making and Government Decision-making
- Helen Eenmaa (University of Tartu, Estonia, and a visiting professor of law at Luiss Guido Carli University, Rome)
- Marlies Van Eck (principal consultant at H ooghiemstra & Partners, and assistant professor at Radboud University, Nijmegen)
Reliance on mathematical certainty, when applied in governance, can enhance both, the sovereignty of the state applying the technologies and the personal autonomy of individuals. When people have more certainty, they can make better decisions and be more in control of their lives. This talk delves into the question of why do societies benefit from well-executed and observable automated processes in governance through the analysis of the Estonian experience with digital government.
Helen Eenmaa (JSD Yale Law School) is a researcher in information technology law at the University of Tartu, Estonia, and a visiting professor of law at Luiss Guido Carli University, Rome. In research, she combines technology law scholarship with law & economics and moral & legal philosophy.
Marlies Van EckAbstract
The Netherlands has been an early adopter in automating the day to day execution of legal tasks. Automated decision-making (ADM) has been around for decades but didn't get much attention of lawyers. These days the use of AI gets a lot of attention, but unfortunately lawyers eyes are on Machine Learning while the transformation of law into code with preprogrammed algorithms is neglected. In this ... Marlies will discuss how ADM and the re use of data has diminished administrative justice and legal protection. Lessons learned in NL can be of great value for future projects.
Marlies is interested in the legal aspects on the use over digital technologies by the government. Her PhD thesis (2018) covered an empirical research on automated chain decision-making by the Dutch government and the consequences regarding legal protection of its citizens. She works as principal consultant at Hooghiemstra & Partners and is assistant professor at Radboud University Nijmegen. Marlies is one of the experts in the free National Course AI based on Elements of AI and initiated track 'AI and the rules'.