BRIDGING LIABILITY GAPS IN AUTONOMOUS TRANSPORT

The emergence of autonomous transport signifies a profound fundamental shift in the modern mobility by transferring the locus of control from human cognition to algorithmic performance. This paradigm shift does not merely alter the mechanics of transportation, but it also fundamentally disrupts the centuries old legal doctrines that govern vehicular torts and liability. As transportation ecosystems evolve from human centric operations to complex AI-defined networks, the legal taxonomy of blame becomes increasingly obscured. Therefore, this raises the question of central academic inquiry, as on how jurisprudence can adapt to an environment where the driver is no longer a conscious legal subject, but rather a confluence of multi-sensor fusion architectures and continuously adapting machine learning models.