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

• Dynamic resource allocation (e.g., emergency response or utility distribution) governed by an AI agent

The system must be deployed by an official city or municipal body within the United States.