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AI systems in public administration need more technical precision, study finds

By PulseAugur Editorial · [2 sources] ·

A new paper proposes a technical typology for AI systems used in public administration to improve research precision. The paper introduces five categories: hand-coded, glass-box, black-box, general-purpose, and agentic systems, and analyzes their implications for public values. An evaluation of 91 highly-cited papers revealed significant imprecision in how AI systems are described and studied. AI

IMPACT This research aims to improve the clarity and accuracy of studies on AI in public administration, potentially leading to better policy and implementation.

RANK_REASON The cluster contains an academic paper detailing a new typology for AI systems.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI systems in public administration need more technical precision, study finds

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Jonathan Rystr{\o}m, Chris Schmitz, Nathan Davies, Gerhard Hammerschmid, Albert Meijer, Chris Russell ·

    A Technical Typology of AI Systems in Public Administration

    arXiv:2606.31755v1 Announce Type: cross Abstract: Research on artificial intelligence (AI) in the public sector often treats "AI" as a single category, neglecting technical distinctions between different AI systems. But these distinctions affect how different systems impact core …

  2. arXiv cs.AI TIER_1 English(EN) · Chris Russell ·

    A Technical Typology of AI Systems in Public Administration

    Research on artificial intelligence (AI) in the public sector often treats "AI" as a single category, neglecting technical distinctions between different AI systems. But these distinctions affect how different systems impact core public values like accountability, procedural just…

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