ARTIFICIAL INTELLIGENCE AND INTERNATIONAL ARBITRATION
DOI:
https://doi.org/10.14210/nej.v27n2.p258-281Keywords:
Law, Artificial Intelligence, International ArbitrationAbstract
Contextualization: During the early days of artificial intelligence research, computer scientists attempted to create algorithms that mimicked human intelligence by attempting to comprehend and recreate human cognitive processes has been predicted also to be used in a wide variety of tasks in international arbitration, including the appointment of arbitrators.
Objectives: This paper examine if and how artificial intelligence may be used to assist or even replace arbitrators in their role of resolving disputes. Notably, this article is not about online arbitration, which refers to procedures in which processes are simplified via the use of technology, such as electronic filings, but where human arbitrators continue to make decisions.
Methodology:The research uses the inductive method and a literature review.
Result: International arbitration, which is always criticized for being overly costly and time-consuming, must take the assertion made by certain artificial intelligence developers that computers can accomplish the job of 360,000 attorneys seriously. Further study is required to determine the optimal technique to mix human decision-makers with artificial intelligence to get the most efficient outcomes.
References
ALETRAS, Nikolaos et al. Predicting Judicial Decisions of the European Court of Human Rights: A Natural Language Processing
Perspective, PeerJ Computer Science 2:e93 (2016).
ALVAREZ, Gloria Maria et al., A Response to the Criticism Against ISDS by EFILA, 33(1) J. Int’l Arb. 1, 4 (2016).
AMBROGI, Robert J. et al. Ethics Issues in Lawyers’ Use of Artificial Intelligence, presentation at 44th ABA National Conference on
Professional Responsibility (1 June 2018).
APOSTOLOVA, Kate; KUNG, Mike. Don’t Fear AI in IA, Global Arb. Rev. (27 Apr. 2018);.
BELLO, Adesina Temitayo. Online Dispute Resolution Algorithm: The Artificial Intelligence Model as a Pinnacle, 84(2) Int’l J. Arb.
Mediation & Dispute Mgmt. 159 (2018).
BODEN, Margaret A. Artificial Intelligence: A Very Short Introduction 26–28 (Oxford University Press 2018).
CASEY, Bryan; FARHANGI, Ashkon; VOGL, Roland. Rethinking Explainable Machines: The GDPR’s ‘Right to Explanation’ Debate
and the Rise of Algorithmic Audits in Enterprise, 34:1 Berkeley Tech. L.J. 143 (2019).
CITRON, Danielle Keats; PASQUALE, Frank. The Scored Society: Due Process for Automated Predictions, 89 Wash. L. Rev. 1 (2014).
COHEN, Paul Cohen; NAPPERT, Sophie. The March of the Robots, Global Arb. Rev. (15 Feb. 2017).
CORTÉS, Pablo; COLE, Tony. Legislating for an Effective and Legitimate System of Online Consumer Arbitration, in Arbitration in the
Digital Age, n. 5, at 2009.
DEDEO, Simon. Wrong Side of the Tracks: Big Data and Protected Categories (2015), https://arxiv.org/pdf/1412.4643v2.pdf (accessed
April 2022)
DEVINS, Neal; BRAUM, Lawrence. Split Definitive: How Party Polarization Turned the Supreme Court into a Partisan Court, 2016
Sup. Ct. Rev. 301, 331 (2016).
EBERHARDT, Pia, et al. Profiting from Injustice: HowLawFirms, Arbitrators and Financiers Are Fuelling an Investment Arbitration
Boom 8 (Corporate Europe Observatory 2012).
FLACH, Peter. Machine Learning: The Art and Science of Algorithms that Make Sense of Data 2 (Cambridge University Press 2012).
FRANCK, Susan D. et al. Inside the Arbitrator’s Mind, 66 Emory L.J. 1115 (2017).
GUIMERA, Roger; SALES-PRADO, Marta. Justice Blocks and Predictability of U.S. Supreme Court Votes, 6(11) PloS One (2011).
GUTHRIE, Chris; RACHLINSKI; Jeffrey; WISTRICH, Andrew J. Inside the Judicial Mind, 86 Cornell L. Rev. 777 (2001).
HANKE, Philip. Computers with Law Degrees? The Role of Artificial Intelligence in Transnational Dispute Resolution, and Its
Implications of the Legal Profession, 14(2) Transnat’l Disp. Mgmt. 1 (2017).
JETTEN, Lieke; SHARON, Stephen. Selected Issues Concerning the Ethical Use of Big Data Health Analytics 72 Wash. & Lee L. Rev.
Online 486, 487 (2016).
JOLLS, Christine; SUNSTEIN, Cass; THALER, Richard. A Behavioral Approach to Lawand Economics, 50 Stan. L. Rev. 1471 (1998);
Avishalom Tor, The Methodology of the Behavioral Analysis of Law, 4 Haifa L. Rev. 237 (2008).
KAHNEMAN, Daniel; TVERSKY Amos. Subjective Probability: A Judgment of Representativeness, 3 Cognitive Psychol. 430, 431
(1972).
KASPAROV, Gary. Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins (John Murray 2017).
KATZ, Daniel M.; BOMMARITO, Michael J.; BLACKMAN, Josh. A General Approach for Predicting the Behavior of the Supreme
Court of the United States, 12(4) PloS One (2017).
KOSINSKI, Michal; WANG, Yilun. Deep Neural Networks Are More Accurate than Humans at Detecting Sexual Orientation from
Facial Images, 114 J. Personality & Soc. Psychol. 246 (2018).
LAURITSEN, Marc. Towards a Phenomenology of Machine-Assisted Legal Work, 1(2) J. Robotics, Artificial Intelligence & L. 67, 79
(2018).
LEGG, Shane; HUTTER, Marcus. A Collection of Definitions of Intelligence, 157 Frontiers in Artificial Intelligence & Applications 17
(2007).
LOHMAN, David F. Human Intelligence: An Introduction to Advances in Theory and Research, 59(4) Rev. Educational Res. 333 (1989).
MACCORMICK, Neil. Legal Reasoning and Legal Theory x (Oxford Clarendon 1977).
MADSEN, Mathias Winther. The Limits of Machine Translation 5–15 (2009) Master Thesis University of Copenhagen, http://vantagesiam.com/upload/casestudies/file/file-139694565.pdf, cited in Harry Surden, Machine Learning and the Law, 89 Wash. L. Rev. 87, 99
(2014).
MARTIN, Andrew D., et al. Competing Approaches to Predicting Supreme Court Decision Making, 2(4) Persp. Pol. 761 (2004).
RUGER, Theodore W., et al. The Supreme Court Forecasting Project: Legal and Political Sciences Approaches to Predicting Supreme
Court Decision making, 104 Colum. L. Rev. 1150 (2004).
MARTIN, Emma. The Use of Technology in International Arbitration, in 40 Under 40 International Arbitration 337–48 (Carlos
Gonzalez-Bueno ed., Wolters Kluwer 2018).
MCCARTHY, John, et al. A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence (31 Aug. 1955), in Artificial
Intelligence: What Everyone Needs to Know1 (Jerry Kaplan ed., Oxford University Press 2016), wwwformal.stanford.edu/jmc/history/dartmouth/dartmouth.html (accessed 15 April 2022).
MILLER, Tim. Explanation in Artificial Intelligence: Insights from the Social Sciences, 267 Artificial Intelligence 1, at 17–18, 20 (2019).
NAPPERT, Sophie. Disruption Is the NewBlack – Practical Thoughts on Keeping International Arbitration on Trend, (2) ICC Dispute
Resolution Bulletin 20, 25–36 (2018).
PAISLEY, Kathleen; SUSSMAN, Edna Sussman. Artificial Intelligence Challenges and Opportunities for International Arbitration,
(1) NYSBA New York Dispute Resolution Lawyer 35 (Spring 2018).
RADIN, Max. The Theory of Judicial Decision: Or HowJudges Think, 11 ABA J. 357, 362 (1925).
SCHERER, Maxi. International Arbitration 3.0 – HowArtificial Intelligence Will Change Dispute Resolution, Austrian Y.B. Int’l Arb.
(2019).
SCHMITZ, Amy J. Building on OArb Attributes in Pursuit of Justice, in Arbitration in the Digital Age 182 (Maud Piers & Christian
Aschauer eds, Cambridge University Press 2018).
SIM, Christine. Will Artificial Intelligence Take over Arbitration?, 14(1) Asian Int’l Arb. J. 1 (2018).
SMIT, Robert H. The Future of Science and Technology in International Arbitration: The Next Thirty Years, in The Evolution and Future
of International Arbitration 365–78 (Wolters Kluwer 2016).
SUSSKIND, Richard. Tomorrow’s Lawyers: An Introduction to Your Future (2d ed., Oxford University Press 2017).
SUSSMAN, Edna. Biases and Heuristics in Arbitrator Decision-Making: Reflections on Howto Counteract or Play to Them, in The Roles
of Psychology in International Arbitration (Tony Cole ed., Wolters Kluwer 2017).
TEGMARK, Max. Life 3.0: Being Human in the Age of Artificial Intelligence, 24 et seq. (Knopf 2017).
TVERSKY, Amos; KAHNEMAN, Daniel. Judgment Under Uncertainty: Heuristics and Biases, 185 Science 1124 (1974).
UNCTAD, Investor-State Dispute Settlement: Reviewof Developments in 2016 1 (May 2017); UNCTAD, Investor-State Dispute
Settlement: Reviewof Developments in 2017 1 (June 2018).
URBAN SOARES, Francisco. New Technologies and Arbitration, VII(1) Indian J. Arb. L. 84 (2018).
VANNIEUWENHUYSE, Gauthier. Arbitration and New Technologies: Mutual Benefits, 35 J. Int’l Arb. 119–29 (2018).
WAHAB, Mohamad S. Abdel. Online Arbitration: Traditional Conceptions and Innovative Trends, in International Arbitration: The
Coming of a New Age? ICCA Congress Series 17, 654–67 (Albert Jan van den Berg ed., Wolters Kluwer 2013).
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