ABSTRACT
Autonomous vehicles (AVs) or self-driving vehicles (SDVs) are set to transform transportation in India, but existing legal and insurance systems are not prepared for their unique challenges. Traditional liability models based on human fault do not apply when control shifts to automated systems. India’s complex traffic conditions and cultural factors add further difficulty in assessing risk and gaining consumer trust. Ethical issues in AV decision-making and concerns about software failures and cyberattacks complicate liability. Global examples show useful approaches: the U.S. relies on product liability, Germany enforces dual liability with data recording, and the UK clearly transfers responsibility with a regulatory body. India must create a tailored framework defining roles for owners, manufacturers, and tech providers, mandate event data recorders, establish an AV regulator, and set ethical programming standards. Local testing protocols and a government-backed compensation fund will further support safe adoption. By updating its laws and policies to handle automation levels and clear accountability, India can harness the benefits of autonomous vehicles while managing ethical and insurance challenges.
KEYWORDS: Autonomous Vehicles, Liability, Government, Transportation, Human Fault, Human Liability
INTRODUCTION
Despite India’s digital growth, the country still suffers from the public safety crisis of road accidents claiming over 1.68 lakh (168000) lives each year. This calls for strategic solutions to improve road safety— autonomous vehicles (AVs) being a promising one. AVs limit human involvement, potentially reducing accidents and reshaping urban mobility through shared transport models.
India’s current motor laws assume human error as the basis for liability. Institutions like the World Economic Forum highlight liability uncertainty as a major barrier to AV adoption.
This raises key questions: Who is liable when an AV crashes—the driver, the automaker, or the software firm? This paper explores these ethical and legal dilemmas, compares global models, and proposes a balanced, India-specific framework.
RESEARCH METHODOLOGY
The research adopts a doctrinal legal methodology. Primary sources include Indian statutes such as the Motor Vehicles Act, 1988; Consumer Protection Act, 2019; and Information Technology Act, 2000. Secondary sources encompass legal commentaries, scholarly journal articles, policy papers, and blog analyse. Comparative analysis was conducted using models from Germany, the UK, and the US.
REVIEW OF LITERATURE
The literature on AV liability displays a range of views—from normative theories about regulation and tort law to comparative models of the law and changing policy proposals. But examination of three exemplary works reveals the piecemeal and fragmentary character of the ongoing discussion, they are given as follows:
Jack Boeglin’s The Costs of Self-Driving Cars
- Supports regulation of freedom, privacy, and liability as a package in autonomous vehicle (AV) policy.
- Proposes that greater invasions of privacy are acceptable only if they trade off correspondingly reducing user liability and generating societal benefits like administrative efficacy.
- Stresses liability transitions on the basis of post-sale user control and AV communication levels.
- Does not address tiered liability for automation, India-centric juridical structures, or the insurance regulators’ role in AV policy.
Indranil Ghose’s Navigating Liability in Autonomous Vehicles: A Framework for India
- Proposes an exhaustive, India-centric legal regime for AVs with a tiered concept of liability based on SAE levels.
- Emphasizes the inadequacy of the Motor Vehicles Act, ethical intricacy of AI decision-making, and regulatory overhaul.
- References international best practices (UK, US, Germany) and advocates experimental regulation.
- Lacks adequate attention to analysis of insurance architecture, enforcement mechanisms, or functional organization of proposed regulatory agencies in India’s federal structure.
Nandini Singh’s Autonomous Vehicles and the Problem of Negligent Liability
- Examines how negligence under tort law intersects with AVs and how the Indian legal system has not adequately prepared.
- Highlights the challenge of apportioning blame in algorithmic accidents.
- Refers to India’s need for legal, technological, and infrastructure readiness.
- Refers to absence of ethical and public trust frameworks.
- Covers only civil liability; insurance, regulation institutions, comparative models, and criminality are not mentioned.
Together, these pieces of work highlight the complexity of AV regulation but identify a fundamental research deficit: there is no comprehensive study in the Indian context that integrates civil, criminal, insurance, and regulatory liabilities, particularly in the absence of an integrated statutory framework. This article tries to bridge that gap by presenting a critical analysis combining doctrinal, comparative, and policy dimensions so as to make a contribution towards the building of an integrated and forward-looking legal regime for AV liability in India.
LEGAL BACKGROUND: INDIA’S CURRENT FRAMEWORK
India currently has no legislation specifically governing autonomous or self-driving vehicles (SDVs). The principal legislation for road transport is the Motor Vehicles Act (MVA), 1988, addressing registration, licensing, insurance, and motor vehicle offenses. The MVA’s definition of a motor vehicle is detailed as “any mechanically propelled vehicle adapted for use upon roads,” but does not assume human control and responsibility and mandates vehicles to be driven by licensed drivers. This creates an inherent lacuna in the law, since the Act never imagines circumstances where control might be transferred to an AI system, e.g., in SDVs. Therefore, in self-driving vehicle accidents, the law seeks to place blame on the human “driver” despite the fact that the latter might have played no part or a limited part in the malfunction or operation of the car. This total assignment of responsibility to humans can lead to unjust consequences and may hinder autonomous technology adoption.
Apart from the MVA, consumer protection law and information technology law in India have limited legal recourse open to SDVs. Consumer Protection Act, 2019, protects against defective goods and unfair trade practices so that aggrieved consumers can hold the manufacturers or service providers responsible for breakdowns or poor services. The Act can be appealed in the context of autonomous cars in the event of injury due to defective systems or false marketing. Similarly, the Information Technology Act, 2000, addresses issues pertaining to digital transactions, cybercrimes, and electronic data interchange. It can include topics such as software updates for AV systems or instances of hacking that compromise the safety of vehicles. However, such legislation did not envision autonomous vehicles and does not cover in its entirety the novel issues of liability and security raised by SDVs.
The absence of a regulatory framework specifically designed sets some criminal and civil responsibility issues in question. To be clear, in the event that an autonomous vehicle is hacked or provided with a buggy software update that results in injury, there is no readily apparent mechanism in current laws on how blame is determined. More critically, there are no well-defined guidelines for producers, creators, and drivers in terms of their respective responsibilities. Indian roads’ distinctive driving culture—formal, unwritten rules and varied practices—also makes foreign liability models created for more regulated traffic conditions more difficult.
With these loopholes, policymakers and lawyers recommend that there should be some law or regulation addressing the intricacies of self-driving cars in India. The law must explain liability allocation, embrace cultural sensitivities, safeguard customers, and propel innovation by ensuring legal certainty. Otherwise, India will fall behind in the adoption of AVs and to safeguard its road users.
CRIMINAL LIABILITY
While civil liability often targets manufacturers and insurers, criminal liability—particularly for negligence—tends to focus on human oversight or misuse of technology. The legality of self-driving vehicles (SDVs) is tested to its core when it comes to criminal responsibility for crimes or accidents. Globally, there is a dispute as to whether the accountable party should be human operators, AI systems, vehicle manufacturers, software programmers, or service firms. This is a tough question since jurisdictions refer to a variety of legal principles and policy objectives. Moreover, the introduction of autonomous technology calls for rethinking traditional models of liability since SDVs operate on different principles than human-operated conventional automobiles.
In Indian law, the Motor Vehicles Act (MVA), 1988, continues to be the central law that regulates road transport. The MVA, however, takes for granted that the human driver is constantly in control and responsible for offenses or accidents. This is without regard to SDVs where control may shift to AI systems. Therefore, if a driverless vehicle is liable for harm, the driver may be unfairly accused even though not liable for the failure.
Furthermore, unique driving habits on Indian roads characterized by informal communication and flexible traffic norms challenge autonomous systems even more, which were primarily tested on formally grounded driving norms in other countries. It has been discovered that such a cultural difference necessitates region-specific training of autonomous vehicle (AV) systems and raises liability concerns when AVs cannot comprehend local driving norms. This supports India’s necessity to possess a liability framework with provision for cultural sensitivity and flexible rule-making mechanisms.
Abroad proposed liability models and by Indian government also emphasize a tiered framework in line with Society of Automotive Engineers (SAE) automation levels. For low-level automation (Levels 1 & 2), responsibility is primarily with the human driver, secondarily with manufacturers for system failures. For Level 3, where the driver can take control under conditions, responsibility is shared: manufacturers are accountable first for autonomous travel, and drivers are accountable for refusing to take control when prompted. Purely autonomous technologies (Levels 4 and 5) assign responsibility primarily to manufacturers and technology companies under strict liability. Shared responsibility schemes are also proposed to deal with multi-party fault in advanced AV crashes.
Current Indian laws only protect partially—providing a shield against defective products and cyber offenses and electronic transactions—but do not outline separate regulations for autonomous vehicles or criminal liability issues related to SDVs. India thus needs broad, culture-friendly legislation urgently to clearly allocate criminal liability, safeguard users, and facilitate innovation in autonomous vehicle technology.
CIVIL LIABILITY: TORT AND PRODUCT LIABILITY
India’s current legal framework lacks explicit provisions addressing civil liability for autonomous vehicles (AVs), particularly regarding tort and product liability. Under classical tort principles, liability usually ensues due to negligence or strict liability doctrines, both of which are applicable to motor vehicle accidents involving human drivers. The MVA assumes the responsibility of a human driver in accidents, which could unjustly prejudge AV drivers when they possess limited or no control over the actions of the vehicle.
Product liability legislation, mostly regulated under the Consumer Protection Act, 2019, protects consumers injured by products or services that are defective. Such a regime may make manufacturers and service providers liable for harm arising from defective hardware, software errors, or poor maintenance of autonomous vehicles. Since AVs integrate hardware with complex software algorithms, courts may have to apply such rules to new technology settings. But application of product liability is hindered by issues regarding causation, foreseeability, and the scope of responsibility of manufacturers for software patches or hacking by third parties.
Internationally, liability frameworks increasingly support tiered civil liability systems according to Society of Automotive Engineers (SAE) levels of automation. India’s regulatory bodies have not endorsed a tiered system, though implementation of such could serve to align liability with the de facto control dynamics of autonomous vehicles.
In addition, multi-party liability arrangements are necessary due to the complicated AV ecosystem comprising vehicle makers, software companies, infrastructure companies, and customers. Joint and several liability models have been found to provide effective compensation mechanisms in such a setup. In the absence of explicit statutory direction, victims of accidents might not find it easy to receive fair compensation, nor will manufacturers find any incentive to develop safety features.
Finally, India’s law of tort and product liability gives halfway but incomplete relief to the civil liabilities resulting from AV accidents. For purposes of promoting innovation and safeguarding consumers, India needs to create an overall civil liability scheme that takes into consideration the distinct technological and operational characteristics of autonomous vehicles.
INSURANCE GAPS AND ETHICAL DILEMMAS
Autonomous vehicle (AV) usage in India is disclosing substantive gaps in the current insurance system and projecting intricate ethical dilemmas for liability and responsibility. The Motor Vehicles Act, 1988, understands insurance liability as caused through human error in accidents, but where there are self-driving cars, insurers cannot evaluate risk and assign fault because of interactions between hardware, software, and human oversight. This regulatory gap can discourage insurance firms from fully covering AVs and create market uncertainties and underinsurance.
In addition, perceived risks behind AV technology drive consumer take-up because numerous potential customers in India are cautious about the reliability and safety of autonomous devices. Insurers and regulators thus have to incorporate these cultural factors into policies and risk models so that AVs can be integrated safely on Indian roads.
Ethical concerns do also arise in the development of AV decision-making algorithms, for instance, in unavoidable collisions where the vehicle has to choose between colliding harms. The paradoxes are also testing current legal and moral systems that have traditionally left human drivers accountable, with AVs making decisions on the basis of pre-set ethical algorithms created by manufacturers or programmers. There is no responsibility over such algorithmic choices in India, which does not have legislation governing the criminal or ethical responsibility of autonomous entities.
In addition, the possibility of software failure and cyberattacks reduces the ease of assigning liability. A malfunctioning or incorrectly updated AV may do damage on its own without the direct liability of the human driver, which raises questions about insurance cover and compensation. Current legislation such as the Information Technology Act, 2000, provides some relief in the event of cybercrimes but does not specifically cater to the novel threats caused by autonomous vehicles. India must craft adaptive insurance schemes and policies that take into account cutting-edge technology threats and ethical considerations and weigh innovation promotion against customer protection.
In total, India’s ethical and insurance infrastructures are presently lacking in terms of responding to the added complexity from autonomous vehicles. A multi-faceted approach through culturally appropriate risk assessment, clarification of liability, and regulation of ethical algorithms must be implemented in order to trigger the public trust necessary to propel safe adoption of AV technology.
COMPARATIVE LEGAL ANALYSIS
Around the world, jurisdictions are testing alternative models of AV liability corresponding to their distinctive legal cultures, regulatory maturity, and technological aspirations. Three leading approaches of the United States, Germany, and the United Kingdom provide instructive contrasts.
In the United States, AV liability is chiefly framed in terms of familiar product liability law. This embraces strict liability for design defects, manufacturing defects, and failure to warn consumers properly. Nonetheless, with the federal setup in place, there is considerable divergence across state-level systems, and federal advice is still non-binding. The Arizona Uber crash highlighted prosecutorial emphasis on human drivers despite growing legal thinking favouring the use of a “reasonable manufacturer” standard in civil liability cases. Courts are increasingly considering whether AVs live up to design promise under this developing understanding. Criminal liability remains very theoretical in most jurisdictions, apart from where human drivers consciously abused semi-autonomous technology.
Germany has instituted a much more organized and proactive regime. The new Road Traffic Act (StVG) introduces a twin-liability approach, where vehicle owners are required to have insurance coverage and manufacturers are held responsible for system malfunction up to EUR 10 million. Event Data Recorders (EDRs) must be deployed for accident reconstruction. German legislation also requires drivers to stay vigilant and be able to take back control, particularly in conditionally automated cars (Level 3). Legislative updates in 2017 and 2021 indicate Germany’s aim to embrace Level 3 and Level 4 AVs along with the integration of ethical programming requirements that secure human life in circumstances where accidents become inevitable.
The United Kingdom, through the Automated Vehicles Act 2024 (AEVA), has adopted a liability transfer approach. When an AV is operating in autonomous mode, responsibility is transferred from the user to the insurer or authorized self-driving entity (ASDE). This framework safeguards users against criminal and civil sanctions resulting from acts performed by the AV only. Additionally, AEVA has provisions for compliance with software updates, data disclosure requirements, and newly established roles such as “User-in-Charge” (UiC) and “No User-in-Charge” (NUiC). The UK’s Center for Connected and Autonomous Vehicles (CCAV) functions as a specialist regulatory body.
Therefore, whereas the U.S. is concentrating on how to apply established tort law, Germany has developed an extensive statutory framework combining ethical and technical elements, and the UK provides potentially the most progressive regulatory approach with responsibility clearly distributed across stakeholders.
SUGGESTIONS AND RECOMMENDATIONS FOR INDIA
In light of the emerging risks posed by autonomous vehicles (AVs) and the global trends in liability regulation, India must adopt a forward-looking and robust legal framework tailored to its technological, infrastructural, and socio-legal context. The following recommendations draw on comparative insights from Germany, the United States, and the United Kingdom:
1. Introduce a National Autonomous Vehicles Act with a Dual-Liability Model
Inspired by Germany’s structured dual-liability system under the StVG, India should establish legislation that clearly delineates the responsibilities of vehicle owners/operators and manufacturers/tech providers. The law should mandate primary insurance coverage by vehicle owners while holding manufacturers liable for system defects.
2. Mandate Event Data Recorders (EDRs) in All AVs
India should legislate the use of Event Data Recorders, similar to Germany’s requirement, for all vehicles equipped with automated driving systems. These devices would assist law enforcement and courts in reconstructing accident scenarios and apportioning liability.
3. Adopt Tiered Liability Based on SAE Levels of Automation
Like the UK’s Automated Vehicles Act 2024, India should adopt a graduated liability model based on levels of automation. For Level 3 and above, liability should shift primarily to the manufacturer or authorized self-driving entity (ASDE), especially when a “No User-in-Charge” (NUiC) mode is active.
4. Establish a Central AV Regulatory Authority under the Ministry of Road Transport
Mirroring the UK’s CCAV and U.S. federal agencies like NHTSA, India needs a dedicated regulatory body responsible for AV approvals, compliance audits, recall mechanisms, and accident investigations.
5. Create a Government-Backed Victim Compensation Fund for AV-Related Incidents
To ensure timely relief and avoid prolonged litigation, India should establish an Autonomous Mobility Compensation Fund, financed by contributions from manufacturers, software developers, and insurers.
6. Embed Ethical Programming Standards for AV Decision-Making
India should follow Germany’s lead in adopting deontological ethical standards that prioritize human life in AV programming logic. Regulatory guidance should prohibit discriminatory decision-making based on age, gender, or socioeconomic status in unavoidable accident scenarios.
7. Define Criminal and Civil Accountability in Semi-Autonomous Vehicles
As seen in U.S. case law and Arizona’s Uber incident, human operators have been held criminally negligent when misusing AV systems. India must pre-emptively address such liability through statutory language distinguishing intentional misuse, negligent oversight, and software malfunction, particularly for Level 2 and Level 3 systems.
8. Localize Testing Protocols and Simulation Standards
Building on the AEVA’s testing and certification role in the UK, India must specify geo-specific testing protocols that account for local driving behaviour, infrastructure variability, and high-density urban conditions. Simulation testing must include these realities.
CONCLUSION
As India approaches a driverless mobility revolution, its outdated regulatory and legal system is a substantial barrier to its safe and successful implementation. Autonomous vehicles promise unprecedented benefits—an end to traffic deaths, reduced congestion, and transportation transformed—but the law needs to adapt to this technological revolution. The Motor Vehicles Act of 1988 adopts a human failure and fault paradigm on the part of the driver and does not provide much guidance where responsibility arises from machine-making choices.
Comparative experience between the United States, United Kingdom, and Germany teaches an important lesson: industry growth and public confidence rest upon legal certainty on the foundation of clearly delineated models of responsibility and institutional role. The UK’s creation of Authorized Self-Driving Entities (ASDEs) and liability immunities, the German dual-track system of less manufacturer liability and compulsion of data logging, and the U.S. focus on product liability all combined present an example to India. They show the way legal evolution can balance the fostering of innovation with accountability.
India would therefore need to follow a proactive and situation-specific path. This would involve provisions for driving automation levels’ definitions in legislation, sequential liability among manufacturers, software developers, and operators, and the imposition of data recorder requirements to enable post-incident investigation. Also critical is the establishment of a central regulatory agency—such as the UK’s AV Approval Authority—capable of overseeing testing, certification, conformity, and consumer education.
Ultimately, India’s future with self-driving cars is as much a question of imaginative regulation as technical readiness. By adopting a regulatory strategy that aligns with world’s best practice but adapts to local conditions, India can unlock the life-saving potential of autonomous cars—shifting not merely how people move, but how safety, accountability, and innovation are governed on its roads.
AUTHOR:
Raagya Vashishtha
Vivekananda Institute of Professional Studies – Technical Campus (VIPS-TC), Pitampura