1 citations · 1 across the 1 of their papers we have counts for
4 papers
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…
Measuring what Matters: Construct Validity in Large Language Model Benchmarks
Andrew M. Bean, Ryan Othniel Kearns, Angelika Romanou +39
Evaluating large language models (LLMs) is crucial for both assessing their capabilities and identifying safety or robustness issues prior to deployment. Reliably measuring abstrac…
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…