Chief Justice of India Surya Kant on Thursday delivered a public lecture at Birkbeck, University of London, on the theme “Artificial Intelligence and International Law,” examining how rapidly evolving AI technologies are reshaping governance, judicial systems, human rights, and the foundations of the international legal order.
Stating that “Artificial Intelligence does not merely challenge legal regulation; it challenges the conceptual assumptions upon which modern International Law itself was constructed,” the Chief Justice said the rise of AI presents a defining moment for international law, compelling legal systems worldwide to reconsider traditional doctrines of sovereignty, accountability, and jurisdiction in an increasingly algorithm-driven world.
Describing AI as one of the defining developments of the contemporary era, the Chief Justice observed that “Artificial Intelligence is no longer a speculative technology residing at the edges of scientific imagination. It is now an operational reality that is reshaping governance, commerce, warfare, communication, public administration, and increasingly, the exercise of judicial and sovereign power itself.”
He noted that governments are already using AI systems to allocate welfare benefits, assess immigration applications, monitor borders, regulate financial systems and support policing functions. Courts, too, are beginning to confront questions involving AI-generated evidence, automated decision-making and digital due process. He emphasised that AI can significantly strengthen justice delivery through legal research, case management, translation services, transcription of proceedings and identification of precedents, helping reduce delays and improve access to justice.
The Jurisdictional Crisis of AI
On the challenge AI poses to traditional concepts of sovereignty and jurisdiction, CJI observed that international law remains deeply rooted in territorial concepts, whereas AI systems operate through globally distributed architectures that frequently transcend national borders. Explaining the problem, he said:
“The law, however, continues to think territorially while technology increasingly operates transnationally. We are therefore confronted with what may reasonably be described as a crisis of ‘distributed sovereignty / overlapping sovereignty’. An AI system today may begin its life in California, mature in Singapore, operate through servers in Ireland, and alter the legal rights of an individual in Delhi — all before breakfast time in London. The central difficulty is this: Which sovereign’s law governs such systems? Which court possesses jurisdiction? Which regulatory authority may enforce accountability?”
The Chief Justice noted that AI systems are often trained on datasets collected across multiple jurisdictions, refined through infrastructure located elsewhere and deployed globally. As a result, existing doctrines of jurisdiction and enforcement are increasingly struggling to address technologies whose operational presence is simultaneously global and diffuse.
Referring to the growing discourse on “algorithmic sovereignty”, he stressed the need for greater international cooperation and the emergence of coherent global frameworks capable of ensuring accountability regardless of where an algorithm is designed, trained or deployed.
The Accountability Vacuum and Risks to Human Rights
CJI highlighted that AI is creating what he termed an “accountability vacuum” by complicating traditional notions of legal responsibility. Highlighting the issue, he remarked:
“This diffusion creates what may be described as an accountability vacuum. When an autonomous system causes harm, who bears responsibility? Is liability attributable to the developer who designed the architecture? The entity that deployed the system? The sovereign government that authorised its use? Or the institution that supplied the underlying data upon which the algorithm was trained?”
He noted that international legal frameworks generally assume identifiable human agency and responsibility. However, modern AI systems frequently involve developers, data suppliers, deployers, cloud infrastructure providers, corporations and governments operating across multiple jurisdictions, making attribution of liability increasingly difficult.
The Chief Justice paid particular attention to autonomous weapons systems and military applications of AI, observing that international humanitarian law evolved around concepts such as human judgment, proportionality, distinction and command responsibility. Increasing autonomy in decision-making, he cautioned, complicates the attribution of intent and responsibility in ways that existing legal frameworks were not designed to address.
Turning to human rights concerns, Justice Kant warned that AI systems trained on historical data may replicate and amplify existing inequalities and prejudices. As he explained:
“Algorithms trained upon such may not only inherit these patterns; they might replicate and amplify them at unprecedented scale. When deployed in criminal risk assessment, predictive policing, immigration processing, welfare distribution, employment screening, insurance evaluation, or credit allocation, AI systems can produce systematically discriminatory outcomes while maintaining the appearance of mathematical objectivity. The danger lies precisely in this illusion of neutrality.”
He further observed that the opacity associated with advanced AI systems presents a serious rule of law challenge. Individuals affected by algorithmic decisions must possess the ability to understand, challenge and seek review of those decisions, he said, warning that governance systems whose reasoning remains inaccessible risk undermining procedural fairness and democratic accountability.
India’s Approach and the Future of Global AI Governance
Discussing India’s regulatory philosophy, Justice Kant described the country’s approach as a calibrated effort to balance technological innovation with constitutional safeguards. Rather than adopting an omnibus AI law immediately, India has relied on existing legal frameworks while gradually developing governance principles responsive to emerging technological realities. Emphasising the importance of constitutional values, he stated:
“The Rule of Law requires far more than efficient administration. It requires transparency, rationality, accountability, and the possibility of review. The legitimacy of public power does not arise simply from the technological sophistication of decisions. It arises because the exercise of power remains subject to constitutional discipline.”
The Chief Justice said India’s experience demonstrates that technological advancement and democratic accountability need not be competing objectives. Referring to India’s digital transformation efforts, he described the country’s approach as one of “innovation without regulatory paralysis, and technological advancement without constitutional abandonment.”
Concluding the address, CJI called for sustained cooperation among states, international institutions, courts, academia, industry and civil society to develop a human-centred framework for AI governance. He stressed that the challenge before the international community is not merely to regulate a new technology but to ensure that its immense potential remains aligned with justice, human dignity and the rule of law.
The future of Artificial Intelligence, he said, “will be shaped not only by innovation but by the legal and moral choices that humanity collectively chooses to make.”