Will any US city experiment with AI-managed governance (e.g., zoning decisions or resource allocation) by 2035?
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Atualizado há 10 horas
Desatualizado27/03/25, 21:02 UTC31/12/34, 23:59 UTC
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As AI systems advance, cities may begin to pilot forms of AI-assisted decision-making—whether in zoning, traffic control, public resource allocation, or budgeting.
- For this market, an “experiment” refers to any formally sanctioned trial or pilot program in which an AI system is given meaningful decision-making authority in at least one domain of city governance.
- This could be under human oversight but must go beyond simple advisory tools or automation of clerical tasks.
- Examples might include:
- An AI system making initial zoning or permitting decisions
- Budget allocation recommendations being implemented with minimal human revision
