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April 14, 20260 citationsOpen Access

Policy-Bounded AI Work Capsule

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RMRaman Marozau

Key Points

  • The research aims to create a framework for trustworthy AI deployment by aligning policies with practical implementation.
  • Developed governance primitives with mandatory properties
  • Defined mechanisms for institutional scaling
  • Mapped alignment across an agenda of 20 items
  • Created an evaluation framework focusing on job quality and agency
  • Outlined implementation pathways and policy proposals
  • Established a foundational framework for policy-bounded AI deployment
  • Identified key properties for effective governance in AI systems
  • Provided guidelines for scaling and standardizing AI practices
  • Highlighted the importance of job quality and agency as outcomes

Abstract

Policy-Bounded AI Work Capsule: A Trust Infrastructure for People-First AI Deployment Author: Raman Marozau · April 2026 Companion implementation framework to OpenAI's Industrial Policy for the Intelligence Age (April 2026). Included in this release Governance primitive definition (4 mandatory properties) Institutional scaling mechanism (standardization, certification, procurement, workforce, interoperability) Alignment mapping across OpenAI's 20-item agenda Evaluation framework (job quality and agency as primary outcomes) Implementation pathway and policy asks Asset: PDF attached to this release.

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Cite This Study

Raman Marozau (2026) studied this question.

synapsesocial.com/papers/69ddda22e195c95cdefd7970https://doi.org/10.5281/zenodo.19540556
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