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Friday June 26, 2026 1:50pm - 2:35pm CEST
Public and social support systems are often fragmented, making it difficult for citizens, especially those with limited literacy, to find appropriate help, while organizations lack visibility into how people move through the system.
This session presents Met Mij, a human-centered AI initiative that supports citizens in navigating local social services while creating a continuous feedback loop between users, social organizations, and technical teams. Rather than positioning AI as an autonomous solution, Met Mij is designed as a socio-technical decision system: AI assists with navigation and matching, while humans remain central in defining criteria, validating outcomes, and steering system evolution.
The talk shares practical lessons from building this system in real-world conditions, including how user interactions are translated into learning signals, how cross-organizational alignment is supported without formal Obeya structures, and how decision-making emerges through visible feedback loops.
By framing Met Mij through an Obeya lens, this case illustrates how human judgment and AI can be integrated to improve system-level learning, alignment, and service delivery offering insights for organizations exploring how Obeya principles can extend into AI-enabled environments.
Speakers
avatar for Jessica Goss

Jessica Goss

Project Lead - Met Mij | Mijke the Matchbot, Eindhoven Engine
Jessica Goss is Project Lead of Met Mij | Mijke the Matchbot at Eindhoven Engine, where she leads the development of a human-centered AI system supporting citizens with limited literacy in navigating fragmented social support services. Her work focuses on building socio-technical... Read More →
Friday June 26, 2026 1:50pm - 2:35pm CEST
5. Douchelokaal

Attendees (5)


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