5 papers · 1 filter
A Technical Typology of AI Systems in Public Administration
Jonathan Rystrøm, Chris Schmitz, Nathan Davies +3
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 dist…
Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts
Alexander K. Saeri, Jess Graham, Michael Noetel +185
Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritizat…
Agent Benchmarks Fail Public Sector Requirements
Jonathan Rystrøm, Chris Schmitz, Karolina Korgul +2
Deploying Large Language Model-based agents (LLM agents) in the public sector requires assuring that they meet the stringent legal, procedural, and structural requirements of publi…
A Moral Agency Framework for Legitimate Integration of AI in Bureaucracies
Chris Schmitz, Joanna Bryson
Public-sector bureaucracies seek to reap the benefits of artificial intelligence (AI), but face important concerns about accountability and transparency when using AI systems. In p…
Oversight Structures for Agentic AI in Public-Sector Organizations
Chris Schmitz, Jonathan Rystrøm, Jan Batzner
This paper finds that the introduction of agentic AI systems intensifies existing challenges to traditional public sector oversight mechanisms -- which rely on siloed compliance un…