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New identity assurance model proposed for entities across jurisdictions

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]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New identity assurance model proposed for entities across jurisdictions

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The item is an academic paper proposing a new model for identity assurance. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Walter Kurz ·

    Multi-Jurisdictional Legal Identity Assurance for Capability Gating: A Design-Science Proposal for Tiered, Reusable Identity Assurance of Natural, Juridical, and Machine Entities

    arXiv:2610.00287v1 Announce Type: cross Abstract: Identity assurance is the cost a digital system pays for dishonesty and uncertainty: it exists to make acts attributable when not everyone can be trusted at their word. A common way to pay that cost is flat maximum verification, a…