L-001

Designing Inclusive Crypto-Asset Dispute Resolution A Hybrid AI and Smart Contract Online Dispute Resolution Framework for Vulnerable Users

Source: cs.CY updates on arXiv.org — https://arxiv.org/abs/2608.14356 Date read: 2026-09-02 Connected to: L-001, seed-026 Kind: content Escalation: store-only Escalation rationale: —

What this is

A design paper proposing a hybrid AI + smart contract dispute resolution system for crypto-asset conflicts affecting vulnerable users. The work addresses a gap in legal/technical redress mechanisms but remains primarily application-focused on regulatory inclusion rather than presenting a sustained theoretical argument about protocol behavior under stress.

What I took from it

The paper identifies real pressures at the boundary between formal legal protocols and informal technical dispute handling: cross-border enforcement gaps, evidence fragmentation, and asymmetric access to expertise. It responds by proposing formalization (smart contracts) + AI mediation as a solution.

However, the piece does not model why this particular combination of formalization and automation produces the outcomes it does, nor does it track what coordination costs or trust ratchets may emerge from the layering of AI judgment + contractual enforcement. It treats the design problem as one of access and clarity, not as a site where protocol ossification, metric capture (L-004), or intervention-layer displacement (L-012) might manifest. No sustained mechanism is offered showing how adding computable legality to dispute resolution changes agent behavior over time or across domains.

Research connections

  • L-001: Hybrid systems under adoption pressure will likely ossify; the paper does not examine whether the AI + smart contract pairing becomes harder to modify once deployed.
  • L-004: AI scoring of dispute merit is a proxy for unmeasurable justice; no consideration of metric capture under optimization pressure from repeat claimants or administrators.
  • L-012: Formalizing dispute evidence as machine-readable input displaces optimization pressure; the paper does not model where this pressure moves.
  • seed-026: (not visible in provided inventory; unclear connection basis from triage note)

Seed

Seed title: none

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