This section formalizes the interface between semantic execution models and institutional or regulatory structures. It translates semantic constructs into forms suitable for standardization, compliance frameworks, and interoperable governance protocols.
Topics in this section include:
- Semantic communication protocols for agents
- Requirements for verifiable execution and responsibility transfer
- Alignment with ISO/IEC standards, the EU AI Act, and other regulatory regimes
- Governance models for multi-agent systems and machine-level accountability
The focus is not policy advocacy, but the technical shape of governance—how rules, delegation, and verification become machine-interpretable structures.
This section includes foundational risk definitions and interactional conditions
that inform governance, execution, and regulatory alignment across semantic agent systems.
1. Scope This document defines a class of interactional risk arising in human–agent systems that engage in continuous, real-time coordination.
The focus is not on incorrect output, model bias, or system malfunction, but on failure modes where technically valid system behavior undermines human subjectivity and participatory stability.
2. Background Most existing standards frame human oversight as a control or intervention mechanism: the human monitors system behavior and intervenes when necessary.
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As global demand for artificial intelligence (AI) regulation increases, regulatory strategies across regions have begun to diverge. The contrast between the European Union and the United States highlights both the challenges and opportunities of transatlantic cooperation.
The EU has largely adopted a centralized, comprehensive regulatory approach, while the U.S. favors a more decentralized, risk-management-oriented strategy. This divergence reflects deeper philosophical differences in how technological governance is conceived, and it raises fundamental questions about the future of global AI deployment—and the structure of the regulatory market that will govern it.
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