Urban Development Strategies through AI + AR│Hubert Beroche(Professor at Sorbonne University)

The talk provides a compelling overview of urban AI, grounded in the speaker’s extensive experience and global network. Beroche effectively critiques the failure of smart cities, attributing it to a top-down, technology-centric approach that ignores local contexts. His systemic definition of urban AI, drawing on Kate Crawford’s work and OECD frameworks, is a valuable contribution, shifting the focus from algorithms to the broader socio-technical system. The examples from his world tour are illustrative and engaging, but they are presented anecdotally without rigorous data or citations, limiting their scientific weight. The talk is more of an expert opinion and advocacy piece than a systematic review. The speaker’s credibility is high, but the lack of detailed references and the omission of AR (despite the title) are weaknesses. The argumentation is coherent and persuasive, but it would benefit from more concrete evidence and a clearer discussion of limitations and potential negative impacts of urban AI. Overall, the talk offers valuable insights for a general audience but lacks the depth required for a rigorous scientific analysis.

The title mentions AI + AR, but AR is barely discussed; the talk focuses on urban AI broadly, making the title slightly misleading.

7/10

The speaker is a recognized expert (founder of Urban AI, OECD consultant, Sorbonne lecturer) and presents a coherent framework based on a global tour and a report with 20 experts. However, the talk is largely anecdotal and lacks detailed citations or verifiable data, limiting its scientific rigor.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 01:00Introduction: Hubert Beroche introduces himself and his journey into urban AI.
• 03:00World tour: meeting with Yutaka Matsuo in Tokyo on using ML for earthquake detection.
• 07:00Example in London: using ML to recognize bat songs for biodiversity mapping.
• 10:00Montreal: Joshua Bengio's use of generative AI to visualize climate change impacts.
• 13:00Boston: Ariel Nowman's use of behavioral data for urban planning and economic prediction.
• 18:00Discovery of smart city failures and the emergence of urban AI concept.
• 24:00Definition of urban AI as a system, not just algorithms.
• 30:00Anatomy of urban AI: layers from city infrastructure to algorithms and implications.

• Urban AI report — Mentioned as a report co-authored with 20 international experts that conceptualized urban AI.
• Kate Crawford's Anatomy of AI — Referenced for the systemic definition of AI.
• OECD definition of AI — Mentioned as one of the first organizations to provide a systemic definition of AI.

• OECD AI Policy Observatory — Provides systemic definitions and policy guidance on AI, aligning with the speaker's systemic approach.
• MIT Media Lab research on behavioral data — Supports the use of behavioral data for urban analysis, as mentioned in the talk.