AI in the Urban Landscape Navigating Data Governance with Multiple Stakeholders
summary
Panel argues that synthetic data maintains >95% fidelity while raising privacy vs classic anonymisation, and that it often beats randomisation for utility; teams build generators to recreate joint distributions for energy demand and traffic optimization and report successful model training and statistical tests. EU programs fund deployment — a community of ~250 stakeholders, OASC with 150 cities, and open calls offering 1.5 million euros for 10–12 pilot sites. Legal gaps persist: Data Governance Act, Data Act chapter 5, GDPR interplay and new EDPB guidance remain unsettled.
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chapters (6)
- 0:00AI governance in smart cities
- 14:46European data governance framework
- 23:25Synthetic data for privacy
- 38:36Human-centric governance with MyData Global
- 52:07Smart city use cases
- 1:03:50Q&A on anonymization
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