State and local governments are increasingly exploring artificial intelligence (AI) to enhance governance and policy implementation, yet their approaches remain inconsistent and slow. More than 150 state bills were introduced last year focusing on AI use in government, with initiatives like chatbots already reducing administrative loads in half of the states. However, the fragmented adoption signifies a pressing need for a structured framework. To effectively leverage AI, policymakers should establish clear definitions and adaptive strategies by sector while securing necessary funding. Training programs are essential for workforce readiness, ensuring staff possess adequate AI skills. Additionally, monitoring and evaluation mechanisms should be integrated into AI implementations to optimize outcomes and mitigate risks. Decision-makers face a unique opportunity to redefine AI in governance, transitioning from pilot projects to comprehensive systems that address the evolving challenges of technology. Embracing this shift is critical for future success in enhancing public services.
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