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PSTW Webinar series | Trust Matters: Citizens and AI in the Public Sector

Published on: 21/05/2026 Last update: 18/09/2026 Event
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How do citizens perceive the use of AI in government? While AI has the potential to improve efficiency and service quality, it may also influence public trust—either strengthening it through better performance or undermining it if it is perceived as unfair or inappropriate. How these systems should be designed and deployed in ways that align with citizens’ expectations, feelings, and needs remains an open question. Emerging evidence is beginning to shed light on these dynamics, yet the topic remains under-discussed in current policy debates. 

Based on a survey across five EU countries and more than 4,000 respondents, this webinar presents findings on citizens’ perceptions of AI in government and discusses them with a panel of experts.

🗓️​ 22 September 2026, h. 10:00-11:30 CEST

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Agenda

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Discover the speakers below!

Ana D Georgieva

Ana D. Georgieva

Ana D. Georgieva is a Forum and Project Coordinator in the Digital Transformation team at Eurocities. In her role, she coordinates the activities of the Digital Forum and its working groups, supports policy and advocacy work on digital transformation, and contributes to the implementation of European projects and initiatives. She works closely with cities across Europe to facilitate knowledge exchange, foster collaboration and support the development of common approaches to digital opportunities and challenges. Prior to joining Eurocities, Ana served as a founding member of the Digitalisation, Innovation and Economic Development Department of the City of Sofia, where she worked on digital transformation initiatives, innovation projects, and city diplomacy.

Jonas Gillet

Jonas Gillet has worked for 10 years at the Danish Ministry of Climate, Energy and Utilities, focusing on digitalization and the green transition. For the past two years, he has been working as a Chief Consultant in the Danish Digital Taskforce for Artificial Intelligence. His  primary focus is to contribute to the responsible scaling of artificial intelligence in the public sector, for example by ensuring that all public sector employees have access to a secure and useful digital assistant, and by supporting the implementation of three large-scale AI projects across the public sector.

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Fernando Vilariño

Fernando Vilariño

Dr. Fernando Vilariño is Associate Director of the Computer Vision Centre and Associate Professor at the Computer Science Department of the Univ. Autònoma de Barcelona, Spain. He lectures in “Machine Learning”,  “Robotics”, and “Models Open Innovation and Citizen Science” and "Social Innovation".  He is currently leading the Quantum Machine Learning Group at CVC. His research is linked to Computer Vision and the Social Impact of AI, and he has led different projects related to the implementation of models of Living Labs in the context of citizen-centric Open Innovation and Citizen Science. He contributes to the field with publications and patents. Dr. Fernando Vilariño has been awarded with the Spanish Gov. Ramon y Cajal Grant (2010), and Google Academy Award (2014) for his research. He was member of the Executive Board (2017-2023) and elected President (2018-2021) of the European Network of Living Labs ENoLL. He is the current Scientific Director of the Chair UAB-Cruïlla for Research in AI in field of music and arts, developing the concept of music festival as a living lab for compliance-readiness in AI.

Giovanni Astante

Giovanni Astante is a PhD Candidate for the Social Computing Group at the University of Zurich and a Research Officer at Privacy Network. His research focuses on social impacts of automated systems and datafication, aiming to blend methods from computational and social sciences to perform comprehensive technology audits. He strongly believes in the importance of interdisciplinarity and promotes research that extends beyond the academic context, collaborating with NGOs and other civil society actors.

 

Giovanni Astante
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Last update: 17/12/2025

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