Interview
summary
Argues that combining autonomous vehicles with big data can fundamentally reshape urban mobility, changing how people move, access services and how cities function; positions this as both a huge opportunity and a risk that requires deliberate policy and systems integration. Focuses on practical city-scale impacts and governance rather than ML theory, emphasizes connecting technical stacks, data pipelines and regulatory processes to deliver better outcomes, and flags unresolved safety and equity tradeoffs.
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chapters (5)
- 0:00Intro
- 0:17What is your definition of AI
- 0:47What is the future of AI
- 1:10What keeps you up at night
- 1:50Outro
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