Resumo

In today’s rapidly evolving technological landscape, artificial intelligence (AI) presents immense potential for the public sector. This study explores how interagency collaboration can address the challenges of AI implementation, such as data silos, technical expertise gaps, and regulatory concerns. By leveraging shared resources and fostering innovation, interagency efforts can enhance AI deployment, improving public service delivery and governance. The analysis synthesizes these insights, offering the first steps for effective AI implementation through collaborative approaches.

The primary challenge in implementing artificial intelligence (AI) in the public sector involves overcoming barriers such as data silos, technical expertise gaps, regulatory and ethical concerns, and resistance to change. The objective is to explore how interagency collaboration can mitigate these challenges. By leveraging shared resources and fostering innovation, the goal is to develop a framework that guides effective and responsible AI integration in government operations.

The theoretical foundation of this article integrates key themes from interagency collaboration and AI implementation in the public sector. Bardach and Frazier provide insights into the benefits of interagency collaboration, such as resource sharing and improved organizational capacity. Studies by Kwon et al. and Fedorowicz et al.highlight how collaborative efforts can address technical and cultural barriers in government operations. Additionally, the work of Misuraca and van Noordt emphasizes the potential of AI to public service.

Interagency collaboration can help to adress the complexities of integrating AI systems into government infrastructures. The siloed nature of government operations can be mitigated through collaborative efforts, which streamline integration processes and enhance data sharing and interoperability. Establishing cross-agency task forces or working groups dedicated to AI implementation can facilitate the exchange of best practices and expertise, leading to more effective AI integration across government entities

effective interagency collaboration is essential for overcoming the challenges associated with AI implementation in the public sector. Through collaboration, governments can address technical, organizational, and governance-related challenges, creating a conducive environment for the responsible and impactful use of AI in governance and public service delivery. However, there remains a significant gap in specific frameworks to guide public enterprises through this process. Existing literature underscores the necessity of interagency collaboration but falls short in providing detailed framewor

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