Artificial Intelligence in International Arbitration
Gicquello, Myriam (2020) Artificial Intelligence in International Arbitration. In: The Oxford Handbook of International Arbitration. Oxford University Press, pp. 590-616. ISBN 9780198796190
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Abstract
This chapter assesses the introduction of artificial intelligence in international arbitration. The contention is that it would not only reinstate confidence in the arbitral system—from the perspective of the parties and the general public—and participate in the development of the rule of law, but also engage with broader systemic considerations in enhancing its legitimacy, fairness, and efficiency. Yet, before addressing the why, what, and how of this proposition, a definition of artificial intelligence is warranted. It should be noted at the outset that this concept has a variety of meanings. Despite the lack of consensus on its meaning, the chapter will thus treat artificial intelligence as encompassing both semi-autonomous and autonomous computer systems dedicated to assisting or replacing human beings in decision-making tasks. It presents the conclusions of two extensive research programs respectively dealing with the performance of statistical models and naturalistic decision-making. From that behavioural analysis, the introduction of artificial intelligence in international arbitration be discussed against the general considerations of international adjudication and the specific goals pertaining to international arbitration.
| Item Type: | Book Section | ||||
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| Identification Number: | https://doi.org/10.1093/law/9780198796190.003.0025 | ||||
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| Uncontrolled Keywords: | arbitration, international procedural law, artificial intelligence, legitimacy of arbitration, efficiency of arbitration, decision making | ||||
| Subjects: | CAH16 - law > CAH16-01 - law > CAH16-01-01 - law | ||||
| Divisions: | Faculty of Business, Law and Social Sciences > College of Law, Social and Criminal Justice | ||||
| Depositing User: | Myriam Gicquello | ||||
| Date Deposited: | 10 Aug 2021 12:31 | ||||
| Last Modified: | 10 Sep 2022 03:00 | ||||
| URI: | https://www.open-access.bcu.ac.uk/id/eprint/12031 |
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