Utilizing AI for Effective Aviation Claim Resolutions in India

Abstract

The aviation industry faces serious challenges in dispute resolution due to accidents, negligence, and product malfunctions. This paper critiques the legal framework governing aviation accident claims, highlighting its failures to provide efficient and effective resolutions, particularly considering the considerable financial implications. We examine the high frequency of claims related to collisions, pilot errors, and maintenance failures, revealing how the current system negatively impacts claim settlements and the behavior of involved parties. We advocate for integrating artificial intelligence to significantly enhance dispute resolution by improving efficiency, transparency, and fairness.
Compelling case studies illustrate the financial burden of aviation claims and the urgent need for innovative solutions to address the growing number of contested claims. When someone sues someone in the aviation industry, they usually have two primary questions to answer: whether the person who owns the plane was negligent or not. Whether the Aircraft was given to an incompetent or unfit operator and whether the owner knew or should have known about the operator. Look at how the current legal system affects how aviation accident cases are settled and fought and how people involved in the process behave. A growing number of claims related to air crashes are contested within the legal system.