Tessa Haesevoets
Tessa Haesevoets
tel.: +32 488 59 74 49
research unit: Department of Public Governance and Management
personal website
Tessa Haesevoets is a research Professor at the Department of Public Governance and Management. She obtained her PhD in Psychology in 2017. Her research focuses on the integration of artificial intelligence in the public sector, with particular attention to how public organizations — and their employees — experience, interpret, and adapt to this rapidly evolving technology. She adopts a human-centered approach, placing the people who work with or are affected by AI at the core of her research rather than the technology itself. Using experimental methods, she systematically examines human-AI interactions within public institutions. Her work bridges the gap between technological innovation and public values, providing governments with actionable insights for developing ethical, human-centered digital transformations.
Keywords: Human-centered approach, Behavioral Public Administration (BPA), Technology acceptance, Trust in government, Policy innovation
- Haesevoets, T., Verschuere, B., Dierckx, K., Van Hiel, A., & Roets, A. (2025). Who do People Prefer to be in Charge? An In-Depth Analysis of UK Citizens’ Preferences for Politicians, Citizens, Experts, and/or Artificial Intelligence in Policymaking. Political Studies (Online First).
- Haesevoets, T., Verschuere, B., & Roets, A. (2025). AI Adoption in Public Administration: Perspectives of Public Sector Managers and Public Sector Non-Managerial Employees. Government Information Quarterly, 42(2), 102029.
- Haesevoets, T., Verschuere, B., Van Severen, R., & Roets, A. (2024). How do citizens perceive the use of artificial intelligence in public sector decisions? Government Information Quarterly, 41(1), 101906.
- Haesevoets, T., De Cremer, D., Dierckx, K., & Van Hiel, A. (2021). Human-machine collaboration in managerial decision making. Computers in Human Behavior, 119, 106730.
- Haesevoets, T., De Cremer, D., Dierckx, K., & Van Hiel, A. (2021). Human-algorithm collaboration in managerial decision making. The European Business Review: Online publication.