In the past seven years, the City of San Antonio, led by a dedicated team, has rigorously evaluated artificial intelligence for public sector applications through a structured pilot program involving nearly 30 initiatives. The findings reveal that many AI systems fail to adapt to municipal environments, highlighting significant issues such as inadequate API documentation, security risks, and vendor monopolies. As demand for AI in government is projected to exceed $50 billion by 2030, a pressing need emerges for standardized performance benchmarks in AI governance. Current procurement practices lack the transparency, accuracy, and accountability essential for effective AI deployment in public services. Cooperative purchasing emerges as a powerful strategy, helping cities leverage collective demand to set and enforce these standards effectively. By fostering collaboration and transparency, cities can ensure that AI tools meet critical performance criteria, thereby enhancing public trust and paving the way for responsible AI adoption in communities nationwide.
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