[2603.00318] AESP: A Human-Sovereign Economic Protocol for AI Agents with Privacy-Preserving Settlement

[2603.00318] AESP: A Human-Sovereign Economic Protocol for AI Agents with Privacy-Preserving Settlement

arXiv - AI 3 min read

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Abstract page for arXiv paper 2603.00318: AESP: A Human-Sovereign Economic Protocol for AI Agents with Privacy-Preserving Settlement

Computer Science > Cryptography and Security arXiv:2603.00318 (cs) [Submitted on 27 Feb 2026] Title:AESP: A Human-Sovereign Economic Protocol for AI Agents with Privacy-Preserving Settlement Authors:Jian Sheng Wang View a PDF of the paper titled AESP: A Human-Sovereign Economic Protocol for AI Agents with Privacy-Preserving Settlement, by Jian Sheng Wang View PDF HTML (experimental) Abstract:As AI agents increasingly perform economic tasks on behalf of humans, a fundamental tension arises between agent autonomy and human control over financial assets. We present the Agent Economic Sovereignty Protocol (AESP), a layered protocol in which agents transact autonomously at machine speed on crypto-native infrastructure while remaining cryptographically bound to human-defined governance boundaries. AESP enforces the invariant that agents are economically capable but never economically sovereign through five mechanisms: (1) a deterministic eight-check policy engine with tiered escalation; (2) human-in-the-loop review with automatic, explicit, and biometric tiers; (3) EIP-712 dual-signed commitments with escrow; (4) HKDF-based context-isolated privacy with batched consolidation; and (5) an ACE-GF-based cryptographic substrate. We formalize two testable hypotheses on security coverage and latency overhead, and specify a complete evaluation methodology with baselines and ablation design. The protocol is implemented as an open-source TypeScript SDK (208 tests, ten modules) with intero...

Originally published on March 03, 2026. Curated by AI News.

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