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

Fuente: arXiv
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Main Author: Wang, Jian Sheng
Format: Preprint
Published: 2026
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author Wang, Jian Sheng
author_facet Wang, Jian Sheng
contents 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 interoperability via MCP and A2A.
format Preprint
id arxiv_https___arxiv_org_abs_2603_00318
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle AESP: A Human-Sovereign Economic Protocol for AI Agents with Privacy-Preserving Settlement
Wang, Jian Sheng
Cryptography and Security
Artificial Intelligence
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 interoperability via MCP and A2A.
title AESP: A Human-Sovereign Economic Protocol for AI Agents with Privacy-Preserving Settlement
topic Cryptography and Security
Artificial Intelligence
url https://arxiv.org/abs/2603.00318