Research Area
AI Ethics and Institutional Governance
The normative and volitional architecture that fixes what an AI system is for — moral grounding, authorised volition, teleological translation and how local correctness can propagate into systemic error.
Works in this area (2)
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PreprintConceptual Framework
The Reinforcement Learning Contour: From Document Production to Governed Epistemic Transformation in AI-Assisted Scientific Inquiry
Generative artificial intelligence has sharply reduced the technical cost of producing scientific text. Increased production capacity does not, however, entail cumulative knowledge, conceptual novelty, or epistemic progress. This paper introduces the Reinforcement Learning Contour (RLC) as a conceptual and architectural framework for shifting AI-assisted research from repetitive content generation toward governed recursive learning… Version note: current registry metadata is Version 2; the archived PDF and this summary preserve Version 1.
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PreprintConceptual Framework
When Local Truth Produces Global Falsehood: Moral Grounding, Institutional Volition, and Systemic Error in Artificial Intelligence
Evaluation of artificial intelligence concentrates on local performance — accuracy, calibration, robustness — while the upstream normative and volitional architecture that fixes what a system is for remains largely unexamined by those metrics. Existing scholarship has established that bias, proxy…