As AI capability asymmetry increases, disclosure-based governance fails because systems either game evaluations or become embedded in oversight, straining legitimacy and non-domination more than corrigibility or resilience.
Analysing and assessing accountability: A conceptual framework.European Law Journal, 13(4):447–468
2 Pith papers cite this work. Polarity classification is still indexing.
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The authors survey accountability across disciplines to identify a coherent definition for agents in multi-agent systems, provide an application example, and outline research challenges with initial solutions for enabling accountability in socio-technical systems.
citing papers explorer
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From Disclosure to Self-Referential Opacity: Six Dimensions of Strain in Current AI Governance
As AI capability asymmetry increases, disclosure-based governance fails because systems either game evaluations or become embedded in oversight, straining legitimacy and non-domination more than corrigibility or resilience.
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Designing for Accountable Agents: a Viewpoint
The authors survey accountability across disciplines to identify a coherent definition for agents in multi-agent systems, provide an application example, and outline research challenges with initial solutions for enabling accountability in socio-technical systems.