Legal Challenges In Regulating Liability And Insurance Frameworks For Autonomous Vehicles In India
- IJLLR Journal
- Mar 12
- 2 min read
Abhilash O, RV University
Sneha Kadrolli, RV University
Introduction
Artificial Intelligence (AI) was viewed as a myth about 5-6 years ago but currently we witness it to have revolutionized various sectors such as education, technology, banking, education etc. Moreover, it has found its way in to transportation, i.e. through advanced driver assistance systems (ADAS), autonomous mobility or self – driving and also into aerial drones. From autonomous vehicles to smart traffic management systems, Artificial Intelligence proves to be at the forefront in enhancing safety, efficiency and convenience in the mobility sector. With the amalgamation of enhanced capabilities of artificial intelligence systems, namely – machine learning, algorithms, computer vision, sensor fusion and data analytics it facilitates to create smarter, responsive and more adaptive transportation solutions. This concept stretches far beyond the traditional approaches, encompassing various modes of transport systems like trains, drones, ships and even space travel.
The building stone of Artificial Intelligence in the sector of mobility can be traced back decades ago with the invention of navigation systems and cruise control, with the help of GPS (Global Positioning System) and use of sensors, radars and Lidars. Over time, the advancements in technology of the sensors and radars paved way for more sophisticated applications of artificial intelligence in to the realm of mobility. Key players in the automotive industry, as well as tech giants are investing in large amounts in Artificial Intelligence to push forth the boundaries of possibilities in mobility, which is leading to trends like electric driver-less vehicles, Mobility as a Service (Maas) and vehicle-to-everything (V2X) communication. Companies like Google, through its Waymo project and Tesla pioneered the development of semi – autonomous and fully autonomous vehicles.
Along with wide varieties of applications and advancements, Artificial Intelligence systems also breed many threats as in the realm of data privacy and security. In order to cater to its full functionality Artificial Intelligence systems need to collect and process large amount of data that in times can be sensitive in nature, with this emerges a huge requirement to regulate collection, processing and use of data in a considerate manner1. Considerably, this study aims to provide a comprehensive analysis of the need and regulation of Artificial Intelligence in mobility while exploring the regulatory hurdles, liability issues and insurance models relevant in the Indian context.
