Spotlight: Civic AI lab
Join us for an upcoming (hybrid) event that shines a light on the groundbreaking work of the Civic Artificial Intelligence Lab, a pioneering collaboration between the City of Amsterdam, the University of Amsterdam, and VU University Amsterdam. This event aims to showcase the lab’s innovative approach to harnessing artificial intelligence for the public good, focusing on crucial areas such as education, welfare, environment, mobility, and health. The Civic AI Lab stands at the forefront of addressing the dual-edged nature of AI technology—its vast potential to improve urban life alongside the risks of exacerbating inequalities. By delving into the challenges and opportunities AI presents, the lab commits to steering the development and application of AI towards enhancing equality and fairness within the cityscape. This initiative not only explores the technological and ethical boundaries of AI but also establishes a vital dialogue with residents and businesses, offering guidance and insights on navigating the evolving landscape of new technologies. Join us to learn more about how the Civic AI Lab is pioneering a future where AI serves everyone, equally and justly.
16:00 – Welcome & introductions
16:05 – Presentation: “Hier moeten we wat mee” Closing the AI-policy gap by Paul Verhagen
16:25 – Q&A
16:30 – Presentation: Efficiency vs Strategy in One-sided Matching: The Case of Amsterdam Secondary School Choice by Mayesha Tasnim
16:50 – Q&A
16:55 – Closing
17:00 – Drinks
18:00 – End
About Paul Verhagen: Paul Verhagen is the political liaison at the Civic AI Lab, which means that he functions as the connector between sometimes abstract academic research and real-world policy problems. He has several years policy experience in the Hague but also has deep technical AI expertise, in particular on political polarization through algorithms.
About Mayesha Tasnim: Mayesha is a PhD student at the Civic AI Lab, University of Amsterdam with a focus on resource allocation problems in Education. Her research interests include the use of Multi-agent Reinforcement Learning and Automated Mechanism Design as decision support tools for policymakers.
To attend this event, please complete the form below. A day before the event, a Zoom link will be shared with the email you’ve used for registration in case you’d like to attend online.
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