Artificial intelligence in arbitration: evidentiary issues and prospects

Artificial Intelligence in Arbitration: Evidentiary Issues and Prospects

Introduction:
Artificial intelligence (AI) has revolutionized various industries, and the field of arbitration is no exception. With its ability to analyze vast amounts of data and make predictions, AI has the potential to significantly impact the evidentiary process in arbitration proceedings. This article explores the evidentiary issues that arise when using AI in arbitration and discusses the prospects it offers for the future of dispute resolution.

1. AI and Evidentiary Challenges:
a. Data Privacy and Confidentiality: AI relies on access to large datasets, which may contain sensitive information. Ensuring data privacy and confidentiality becomes crucial to protect the parties involved in arbitration.
b. Admissibility of AI-Generated Evidence: The admissibility of evidence generated by AI systems may raise questions regarding authenticity, reliability, and the ability to cross-examine the technology itself.
c. Bias and Fairness: AI algorithms are trained on historical data, which

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