Wolters Kluwer: International Arbitration & Mediation’s Post

In a recent blog post, Boris Prastalo has provided an insightful analysis of the challenges and implications of integrating Artificial Intelligence (#AI) into arbitration, focusing on the "black box" problem. 🖥 Boris delves into the complexities of AI in #arbitration, particularly the issue of the "black box" problem, where the reasoning process of AI remains opaque. He discusses the current legal framework, which mandates reasoned awards, and how this requirement conflicts with the nature of AI systems that do not inherently explain their decision-making process. 🤖 Boris explores the concept of "Explainable AI" as a potential solution, but notes the trade-offs between transparency and the performance of AI. He also presents a hypothetical scenario to question whether the arbitration community would accept AI-generated decisions without full transparency, especially considering the potential benefits of AI, such as cost-efficiency and speed. 💡 In conclusion, Boris suggests that while the "black box" problem presents a significant challenge, there may be room for AI arbitrators within the existing legal framework if parties agree to forgo traditional reasoning. He proposes that ex ante measures could help address transparency concerns, and provocatively posits that AI arbitrators might ultimately be less of a "black box" than human decision-makers. 🔗 Learn more about the latest tech developments in #internationalarbitration in the Arbitration Tech Toolbox series - https://lnkd.in/eK-Y_bsi! #legalteach #disputeresolution

Arbitration Tech Toolbox: AI as an Arbitrator: Overcoming the “Black Box” Challenge?

Arbitration Tech Toolbox: AI as an Arbitrator: Overcoming the “Black Box” Challenge?

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