A new design-science proposal introduces a tiered and reusable model for identity assurance across natural, juridical, and machine entities, aiming to address limitations in current systems. This model separates identity assurance state from capability gates, allowing disclosure to scale with the act and its consequences. It incorporates a typed entity taxonomy, a two-axis framework for assertion scope and information source, and jurisdiction as a time-indexed attribute, drawing requirements from anti-money laundering and data protection laws. AI
IMPACT Proposes a framework for identity assurance that could impact how AI agents are verified and interact within legal and digital systems.
RANK_REASON The item is an academic paper proposing a new model for identity assurance. [lever_c_demoted from research: ic=1 ai=0.7]
- Anti-money laundering
- arXiv
- electronic identification
- flat maximum verification
- information privacy law
- Juridical Entities
- Machine Entities
- Multi-Jurisdictional Legal Identity Assurance for Capability Gating
- Natural Entities
- reusable-KYC
- systems theory
- Tiered, Reusable Identity Assurance
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