The End of Justice(s)
Eleven International Publishing (Verlag)
978-94-6236-881-1 (ISBN)
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It has been submitted that the implementation of technological innovations in adjudicatory processes reduces error and improves consistency in legal decision-making, is cost and time efficient and benefits access to justice. An issue that has received little exposure is that of the impact of automation on the rights adjudicated. In other words: does (partly) automated dispute resolution lead to results equal or approximate to those obtained in procedures conducted under the auspices of a human actor (mediator, conciliator, arbitrator or State-appointed judge) only?
This paper seeks to investigate this issue from three perspectives: computer science, (cognitive and social) psychology and experiences with automation in the context of US administrative law. It applies the insights gained from these fields in a case study in the field of European Consumer Sales Law ("ECSL"). This case study examines whether the use of automation in dispute resolution over rights defined under ECSL affects the vindication of such rights. It is submitted that the results of this assessment give rise to concerns, amongst others for doubts as to the compatibility of automated decision-making and ECSL, market pressures incentivizing unbalanced algorithms (automation bias) and perils of human interaction with automation (decision bias, complacency and monitoring failures) more generally. These concerns are exacerbated by a lack of (judicial and regulatory) supervision of automated decision-making systems on the EU and national levels.
This analysis suggests an alternative approach towards regulating automation in (online) dispute resolution. This approach focuses not on developing codes of conduct directed towards developers of expert systems or ADR professionals employing such systems. Rather, it proposes that regulation in the field should address the human-system dynamic in automation by incentivizing the development of transparent systems capable of internalizing trust in automated decision-making.
Prof. Bastiaan van Zelst LLm LLm PhD (1981) holds the chair in Dispute Resolution and Arbitration at Maastricht University. He is also a practicing attorney at Amsterdam based law firm Van Doorne N.V. In his research, Van Zelst focuses on exploring alternatives to existing civil dispute resolution structures. He has investigated and published, amongst others, on Med-Arb (the combination of mediation and arbitration into one single dispute resolution process), (fundamental aspects of) unilateral option dispute resolution mechanisms, applications of arbitration in class action, and on automation in dispute resolution. Van Zelst’s research is of an international and interdisciplinary nature. Moreover, being both an academic and a practicing attorney allows Van Zelst to conduct research that is both of a fundamental nature and practically applicable. This is testified to by Van Zelst’s publication in a large variety of academic journals, varying from the European Law Journal to the Corporate Mediation Journal and from the Journal of International Arbitration to the Nederlands Juristenblad
1 Introduction; 2 Automation in online dispute resolution; 3 Digitization in State courts; 4 Perspectives from computer science; 5 Perspectives from the social sciences; 6 Experiences in (US) administrative law; 7 European Consumer Sales Law (ECSL); 8 Automation in dispute resolution and the effective application of ECSL; 9 From trusting institutions to understanding decisions
| Erscheinungsdatum | 24.11.2019 |
|---|---|
| Reihe/Serie | Maastricht Law Series ; 5 |
| Verlagsort | Utrecht |
| Sprache | englisch |
| Maße | 165 x 240 mm |
| Themenwelt | Recht / Steuern ► Allgemeines / Lexika |
| Recht / Steuern ► EU / Internationales Recht | |
| Recht / Steuern ► Privatrecht / Bürgerliches Recht ► Zivilverfahrensrecht | |
| ISBN-10 | 94-6236-881-3 / 9462368813 |
| ISBN-13 | 978-94-6236-881-1 / 9789462368811 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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