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Imputing Liability In Autonomous Vehicles: Issues, Challenges, And A Comparative Study With Special Reference To The Laws Of The United States, United Kingdom, And European Union




Devansh Aggarwal, Law College Dehradun, Uttaranchal University

Satyam Sharma, Law College Dehradun, Uttaranchal University


ABSTRACT


The introduction of autonomous vehicles as a business and regulatory reality has revealed one of the fundamental conflicts underlying the tort law: a legal framework that relies on human agency and fault may not be well-equipped to allocate responsibility when the party making the driving decision is an algorithm. The article discusses the theoretical and practical issues of imputing liability in the autonomous vehicle accident setting and in particular how the United States, United Kingdom and European Union have approached these issues and in significant ways failed to do so. Based on SAE automation levels as an analytical grid, the article identifies the following core issues in doctrines: the breakdown of the driver-vehicle distinction, the impossibility of the application of negligence principles to machine decision-making, the ineffectiveness of the existing product liability frameworks and the difficulty of the evidentiary opaqueness in AI-based systems. The comparative analysis shows that no jurisdiction has so far produced any fully consistent liability framework, and that the decisions each has made reflect more profound jurisprudential commitments of risk, innovation and the purpose of tort law.


Keywords: Autonomous Vehicles, Liability, Tort Law, Product Liability, SAE Levels, AI, United States, United Kingdom, European Union, Comparative Law



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

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The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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