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Artificial Intelligence (AI) currently holds the spotlight amongst the interdisciplinary research fields that transcend the realm of academia. AI methods are enabled by a wide variety of technologies, methods and data, presenting a number of opportunities and challenges in a public decision-making context that differ by context of application. While the regulatory landscape surrounding AI governance is a pressing problem for scholars, the literature has often overlooked the role of the government as a user of AI. This article presents a classification framework for AI applications that facilitates the work in public sector (in the role of user) deployment. With our framework, we try to provide a lens to different deployment-related questions.
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Stored only when both papers are in the corpus — 25 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.