Illustration depicting the intersection of AI technology and arbitration in construction law.
The use of artificial intelligence (AI) in arbitration processes within the construction industry is on the rise, yet it faces several ethical and practical challenges. While AI tools are currently limited to enhancing remote hearings and database navigation, experts caution against over-reliance. Past cases reveal potential inaccuracies in AI-generated legal documents, further complicating its application. Confidentiality issues also hinder data availability for AI training. Experts advocate for a careful integration of AI, ensuring that human oversight and ethical standards remain a priority as the construction industry evolves.
The use of artificial intelligence (AI) in arbitration is limited and raises several ethical concerns, according to observations by industry expert Roberta Downey. As a Partner and head of the International Construction group at a well-known law firm, her insights highlight the ongoing evolution of technology in legal dispute resolution, especially in the context of the construction industry.
While the COVID-19 pandemic has accelerated the adoption of technology in dispute resolution, the integration of AI tools by arbitrators remains constrained. Its primary applications have included assisting during remote hearings and aiding in navigating vast databases of legal evidence. Even though AI has proven effective in managing repetitive tasks and handling large volumes of evidence, skepticism remains about its ability to draft complex legal submissions, particularly in the realm of construction law.
One significant case illustrating the intricacies of construction law is the 2024 ruling in R(Cobalt Data Centre 2 LLP v Revenue and Customs Commissioners, where the Supreme Court dealt with complex legal precedents. Such nuances further exemplify why AI’s capabilities may fall short when handling unique circumstances in various legal situations. Additionally, publicized inaccuracies in AI-generated documents, often referred to as hallucinations, pose serious risks, rendering the use of AI in critical legal contexts problematic.
Furthermore, confidentiality issues prevent comprehensive data availability for training AI systems, which further complicates the technology’s effective integration into arbitration. Currently, there is a recognized need for human oversight, especially considering the rules in some jurisdictions like France, UAE, and Turkey that explicitly require human arbitrators.
The field of Online Dispute Resolution (ODR), another technology-driven solution, has not gained significant traction, especially in handling high-stakes arbitration cases. This has led to the European Union’s decision to discontinue its ODR platform due to low user engagement. In contrast, despite the English Arbitration Act not explicitly prohibiting AI arbitrators, its challenges stem from existing laws concerning the personal responsibilities and authority of arbitrators.
Despite these issues, AI presents opportunities to enhance efficiency in arbitration processes. Trial lengths can potentially be reduced, with Downey noting a shift from typical arbitration durations of 4-6 weeks down to a maximum of 2 weeks during the pandemic. This increased speed offers a promising avenue for parties engaged in disputes, as it could lessen the time and costs typically associated with lengthy arbitrations.
However, concerns regarding ethical implications, accuracy, and confidentiality remain paramount. A recent survey indicates that 51% of respondents perceive AI errors and biases as the leading obstacles to wider adoption in arbitration. There is an evolving expectation among arbitration users that AI will play a larger role in the coming five years, particularly in administrative aspects of the process. Yet, reliance on AI for substantive decision-making and legal reasoning continues to evoke skepticism.
In summary, while the integration of AI into arbitration processes offers potential enhancements in efficiency and productivity, experts advocate for a cautious and measured approach. The complexities of construction law, heightened ethical considerations, and the need for preserving human oversight underpin discussions about the future adoption of AI technologies in arbitration.
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