Introducing artificial intelligence (AI) technology tools in government requires a thorough vetting process to ensure they address pertinent issues and serve users effectively. Nathan McNeese, from Clemson University, emphasizes the importance of understanding organizational needs and carefully evaluating AI’s intended purpose during implementation. Co-author Suresh Venkatasubramanian highlights the necessity of establishing internal governance policies around data usage and AI effectiveness measurement. Examples from cities, like San Jose, demonstrate a thoughtful approach to AI tool deployment, assessing risk levels and privacy impacts. The recent National Academies report and initiatives by the GovAI Coalition advocate for structured policies and best practices to improve AI integration in public sectors. By fostering collaboration among agencies and vendors, the Coalition aims to promote accountability and effective governance in AI applications. This strategic framework is crucial for ensuring AI technology enhances public service while minimizing risks.
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