Finding ways for value-sensitivity and transparency to strengthen citizens’ trust in the implementation and use of algorithms and strengthen police legitimacy.
My research focuses on the relationship between AI use, citizen trust and public values. How are AI-systems implemented in the organisation and used in practice. For example, how do police officers interact with results or directions given to them by a computer instead of a person? In practice this can differ greatly from what managers and programmers expected in advance, as users interact with the technology. Within this scope, my research focuses on public and ethical values playing a role in the decisions the police employee makes as well as trust citizens have in the police organisation.
I. Fest, M. Schäfer, J. van Dijk & A. Meijer (2023), Understanding Data Professionals in the Police: A Qualitative Study of System-Level Bureaucrats (pdf, 846kb). Public Management Review.
I. Fest, B. Wagner & M. Wieringa (2022) Paper vs. practice: How legal and ethical frameworks influence public sector data professionals in the Netherlands (pdf, 882 kb). Patterns.
I am a PhD candidate at the Utrecht University School of Governance. I have a background in Public Administration, with a MSc in Public Management. I study the effects of transparency about (the use of) algorithmic tools on citizen trust in the Dutch National Police.
Testerink, B., Nieuwenhuizen, E. N., & Bex, F. J. (2023). Wat doet het ertoe dat je een mens bent? Autonome AI systemen voor de politie (pdf, 281kb). Cahiers Politiestudies.
My research focuses on the relationship between algorithms and work. Technological systems can impact the execution of a task. Does an AI system replace an employer or does the system enhance employers’ efficiency? The goal of my research is giving insight in the use of AI systems by the employees.