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Civil Liability of Roboadvisors and Technological Neutrality of Sectoral Regulation

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11220%2F25%3A10502817" target="_blank" >RIV/00216208:11220/25:10502817 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=d6aH5k1Obu" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=d6aH5k1Obu</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Civil Liability of Roboadvisors and Technological Neutrality of Sectoral Regulation

  • Popis výsledku v původním jazyce

    This paper examines civil liability frameworks for roboadvisors within Czech law through systematic interpretation of Civil Code (CC) provisions and their interaction with MiFID II requirements. Using legal-dogmatic methodology supplemented by comparative analysis of foreign AI liability debates, this research identifies five distinct roboadvisor business models and evaluates their liability implications. The analysis reveals that contractual liability under§ 2913 CC emerges as the primary framework, with professional standards of care (§ 5 CC) being objectified through sectoral financial regulation. Key findings demonstrate that existing tort law principles provide adequate coverage for AI-driven financial services without requiring fundamental legislative reform. The study identifies specific challenges in determining liability for machine learning algorithms exhibiting unforeseeable behaviour patterns and establishes criteria for distinguishing between natural market risks and legally compensable damage. Different business models create varying liability distributions, with white-label solutions and client-uploaded algorithms presenting the most complex attribution problems. While traditional liability frameworks prove adaptable to roboadvisor operations, the research identifies procedural law adjustments - particularly regarding burden of proof and evidentiary standards -as necessary refinements. The principle of technological neutrality in sectoral regulation effectively prevents regulatory arbitrage while maintaining innovation incentives. Lost profits claims face limitations under current Supreme Court jurisprudence, requiring a case-by-case evaluation of contractual appreciation obligations versus hypothetical profit calculations. The study concludes that civil liability for roboadvisors can be effectively managed within existing legal structures through enhanced algorithmic governance, robust documentation practices, and appropriate professional standards of care rather than novel legislative constructs.

  • Název v anglickém jazyce

    Civil Liability of Roboadvisors and Technological Neutrality of Sectoral Regulation

  • Popis výsledku anglicky

    This paper examines civil liability frameworks for roboadvisors within Czech law through systematic interpretation of Civil Code (CC) provisions and their interaction with MiFID II requirements. Using legal-dogmatic methodology supplemented by comparative analysis of foreign AI liability debates, this research identifies five distinct roboadvisor business models and evaluates their liability implications. The analysis reveals that contractual liability under§ 2913 CC emerges as the primary framework, with professional standards of care (§ 5 CC) being objectified through sectoral financial regulation. Key findings demonstrate that existing tort law principles provide adequate coverage for AI-driven financial services without requiring fundamental legislative reform. The study identifies specific challenges in determining liability for machine learning algorithms exhibiting unforeseeable behaviour patterns and establishes criteria for distinguishing between natural market risks and legally compensable damage. Different business models create varying liability distributions, with white-label solutions and client-uploaded algorithms presenting the most complex attribution problems. While traditional liability frameworks prove adaptable to roboadvisor operations, the research identifies procedural law adjustments - particularly regarding burden of proof and evidentiary standards -as necessary refinements. The principle of technological neutrality in sectoral regulation effectively prevents regulatory arbitrage while maintaining innovation incentives. Lost profits claims face limitations under current Supreme Court jurisprudence, requiring a case-by-case evaluation of contractual appreciation obligations versus hypothetical profit calculations. The study concludes that civil liability for roboadvisors can be effectively managed within existing legal structures through enhanced algorithmic governance, robust documentation practices, and appropriate professional standards of care rather than novel legislative constructs.

Klasifikace

  • Druh

    J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS

  • CEP obor

  • OECD FORD obor

    50501 - Law

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    The Lawyer Quarterly

  • ISSN

    1805-8396

  • e-ISSN

    1805-840X

  • Svazek periodika

    15

  • Číslo periodika v rámci svazku

    4

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    19

  • Strana od-do

    503-521

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus

    2-s2.0-105025889543