What Does ODRL Mean? A Cross-Level Ontological Grounding of Permissions, Prohibitions, and Duties in UFO-L
arXiv:2606.24344v1 Announce Type: cross Abstract: ODRL policy evaluators produce verdicts, but say nothing about the normative positions a policy brings into existence, the authority structures those positions presuppose, or who holds the power to declare a norm violated. We formulate the Cross-Level Design Principle: any normative language with violable, consequential norms requires both conduct-level positions (Permission, Duty, Right, No right) and competence-level positions (Power, Subjection, Immunity, Disability). Applying this to ODRL, we establish that prohibition is sanctioned (violat
This research provides foundational work in defining normative positions and authority structures for AI agents, which is increasingly critical as autonomous systems gain more capabilities and agency.
A strategic reader should care because establishing robust normative frameworks is essential for the safe and ethical deployment of advanced AI systems, particularly in sensitive applications.
This research provides a more rigorous and granular understanding of how permissions, prohibitions, and duties can be formally grounded, enabling more sophisticated and auditable AI policy evaluations.
- · AI ethicists
- · Developers of AI governance frameworks
- · Security-focused AI developers
- · Developers of unconstrained AI
- · Systems lacking auditable normative reasoning
Refined understanding of normative positions (Permission, Duty, Power) in AI policy systems like ODRL.
Development of more reliable and accountable autonomous AI agents capable of understanding and adhering to complex normative constraints.
Potential for new regulatory standards and compliance requirements for AI systems based on robust ontological grounding of their decision-making processes.
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Read at arXiv cs.AI