Local governments across the U.S. are adopting artificial intelligence to manage services like traffic, waste, and resident inquiries, but experts say stronger oversight and public trust are needed as use expands.
Artificial intelligence is quietly becoming a bigger part of daily operations in city and county governments across the United States. From answering resident questions to monitoring traffic and inspecting roads, AI-powered systems are being used to help local agencies manage growing demands with limited budgets and staff.
According to a recent report from researchers at Queensland University of Technology, local governments are already using AI in a variety of ways. In Amarillo, Texas, a virtual assistant now handles about 16,000 resident inquiries each month, helping the city avoid a costly call center expansion. In the United Kingdom, councils have deployed chatbots to respond to more than 1,000 topics, freeing up staff for more complex cases. Other cities are using AI to process parking permits, manage school invoices, and even scan roads for potholes using cameras mounted on garbage trucks.
AI in City Operations
AI is also being used to optimize traffic signals, as seen in Boston, where a new system has reduced average delays by over 13% at some intersections. In Australia, waste collection vehicles equipped with computer vision can now identify damaged roadside assets, while in China, AI monitors vegetation and pest infestations, generating maintenance work orders automatically.
These technologies are helping local governments meet rising expectations for faster, more efficient public services, especially as many cities face aging infrastructure and workforce shortages. However, experts caution that the rapid adoption of AI is outpacing the development of policies and safeguards needed to ensure these systems are used responsibly and transparently.
Governance and Public Trust
Researchers emphasize that local governments remain accountable for decisions made with the help of AI, and residents expect fairness, transparency, and alignment with community values. In London, for example, one council uses an AI tool to help social workers write case notes more efficiently, but maintains privacy protections and requires human review.
The report identifies six priorities for responsible AI use in local government: clear accountability, organizational capability, strong data and technical safeguards, transparency and human review, community participation, and workforce preparation. These steps are intended to ensure that AI systems are secure, reliable, and serve the public interest.
Building Confidence in AI
Public trust is seen as essential for the successful use of AI in local government. The research found that in countries including the U.S., Australia, Spain, Hong Kong, and Saudi Arabia, trust in government shaped how residents viewed the risks and benefits of AI. Making AI systems visible and accessible-such as through engagement platforms that help residents ask questions or participate in consultations-can help build confidence.
In the UK, a town planning body has piloted an AI system to summarize public submissions, speeding up responses and making the process more transparent. By allowing residents to interact directly with AI or see its benefits in action, local governments can demonstrate reliability and accountability.
Responsible AI governance is not just a technical challenge, but a matter of public trust and ethical use. As more cities and counties turn to AI to manage services, experts say ongoing evaluation, transparency, and meaningful community engagement will be critical to ensuring these systems truly serve residents.
Local governments considering new AI tools are encouraged to involve community members early, provide clear information about how AI is used, and maintain human oversight for important decisions. As technology continues to evolve, the focus remains on balancing innovation with the need for public accountability and trust.
