Narendra Kumar Goswami AI Regulation Case: Supreme Court Declines, Asks Centre to Consider Representation

The Supreme Court of India today declined to entertain a public interest litigation seeking comprehensive judicial guidelines to regulate the deployment of artificial intelligence by the Union and State Governments, holding that the issue falls squarely within the policy domain of the executive and legislature. A bench comprising Chief Justice Surya Kant and Justices Joymalya Bagchi and V Mohana directed the Centre to consider a detailed representation already submitted by the petitioner, allowing him to supplement it with the writ petition itself.

The petition, filed by lawyer Narendra Kumar Goswami, argued that unregulated use of AI in governance, welfare distribution, policing, surveillance, and content moderation violates fundamental rights under Articles 14, 19(1)(a), 19(1)(g), and 21 of the Constitution. It sought a declaration that any State AI system producing civil consequences must satisfy minimum constitutional safeguards such as legality, transparency, non-arbitrariness, proportionality, human oversight, and an effective remedy. The petitioner also pressed for a direction compelling the Union to disclose all existing and proposed high-risk AI systems used by its ministries and agencies.

Background of the Petition

The writ petition under Article 32 was filed in 2026 and sought a broad regulatory framework covering the entire lifecycle of government AI deployment. Among its key demands were the constitution of a High-Powered Expert Committee, with Supreme Court nominees, to frame binding guidelines on AI ethics, mandatory algorithmic impact assessments, bias audits, transparency in surveillance and content moderation, human-in-the-loop oversight for high-risk systems, and data protection safeguards. The petitioner urged that these guidelines operate as law under Articles 141 and 142 of the Constitution until Parliament enacts legislation.

Pending such a framework, the petition sought an interim injunction restraining the Union, its agencies, and State Governments from deploying or significantly expanding any new high-risk AI, machine learning, or automated decision-making systems that have civil consequences on welfare entitlements, liberty, privacy, movement, livelihood, policing, surveillance, or freedom of speech. These interim safeguards included public disclosure of the system's purpose, a prior algorithmic impact assessment, independent bias audits, identification of a human officer for final decisions, notice and reasons before adverse action, meaningful human review, grievance redressal, and restoration in case of wrongful exclusion.

Court's Observations on Justiciability

During the hearing, the petitioner-in-person, NK Goswami , submitted that he was pressing only one specific prayer—a direction to the Union to file an affidavit disclosing all high-risk AI systems currently in use or proposed by Union ministries and agencies . The Chief Justice, however, observed that the petition was "very comprehensive" but that the Court could not address it for two reasons: the issue is "highly technical," and the Court is not an expert; and it falls within the " policy domain ." The CJI remarked, "Two reasons it cannot be addressed by us. One is it is a highly technical issue. We are not the experts. And this is a policy domain ."

The bench noted that the judiciary's own use of AI is already well-regulated. "As far as AI use in Judicial system is concerned, we have already well-regulated it. Our regulations are very comprehensive, you can go on the website and find it," the Chief Justice said, indicating that the Court had drawn a clear distinction between internal judicial automation and external governmental AI.

The Representation Route

Significantly, the Court pointed out that the petitioner had already made a detailed representation to the Centre in February 2026 , comprehensively explaining the very issues raised in the writ petition . In its order, the Court stated: "We find that the issue is the formulation of appropriate policy and/or regulations for governing the use of AI and similar tools…We dispose of this writ petition at this stage without expressing any opinions on the merits, giving liberty to the respondents to consider the suggestions for the purpose of taking appropriate measures." The Court permitted the petitioner to supplement the representation by sending a copy of the writ petition to the respondents.

This disposition leaves the matter entirely in the hands of the executive branch. The Centre is now free to consider the suggestions, but there is no timeline or binding obligation to act. The petitioner's request for interim relief was not addressed, effectively allowing the continued deployment of AI systems by the government without the constitutional safeguards sought.

Legal Implications and Analysis

The Supreme Court's refusal to intervene has significant implications for the regulation of AI in India's public sector. By characterising the issue as one of policy rather than justiciability, the Court has signaled that the development of a legal framework for AI governance is primarily a task for Parliament and the executive. This aligns with the separation of powers doctrine but also underscores the judiciary's reluctance to craft technical standards in a rapidly evolving field.

The bench's emphasis on the technical nature of the issue echoes similar observations in other jurisdictions where courts have deferred to specialist regulators or legislative action. However, the lack of any interim direction means that high-risk AI systems—such as predictive policing algorithms, facial recognition databases, and automated welfare allocation tools—continue to operate without independent oversight or mandatory transparency. For legal professionals, this raises concerns about due process and the right to explanation in automated decision-making.

The Court's mention that the judiciary's own AI use is regulated suggests a nuanced approach: the Court is willing to regulate its own internal processes but is not prepared to extend that oversight to the executive or legislative branches. This leaves a regulatory vacuum that only parliamentary legislation can fill. The petitioner's demand for a statutory framework, if eventually enacted, would likely draw on the same constitutional principles the petition invoked.

Impact on Legal Practice and Civil Rights

For lawyers practicing in constitutional law, digital rights, and administrative law, this decision reinforces the need to engage with the policy-making process rather than seek judicial intervention at this stage. Petitioners may now be directed to file representations with the government before approaching the courts, potentially slowing down accountability mechanisms. The absence of judicial oversight also means that individuals adversely affected by government AI decisions—such as wrongful denial of welfare benefits or mistaken surveillance—may have limited grounds for challenge until a statutory framework is in place.

The petition's alternative prayer for a declaration that any State AI system producing civil consequences must satisfy constitutional safeguards could, in a future case, be revived if the government fails to act. Legal arguments grounded in Articles 14, 19, and 21 may still be advanced in individual cases where automated decisions cause harm, but the burden of proving constitutional violations without a clear statutory standard will be high.

Conclusion

The Supreme Court's decision to decline the plea marks a critical moment in India's evolving approach to AI regulation. By deferring to the executive and legislature, the Court has opened the door for policy-driven solutions while leaving constitutional questions unanswered for now. The petitioner's representation, now supplemented with the writ petition, lies with the Centre, and the legal community will closely watch whether the government implements the safeguards suggested. Until then, the use of AI in governance remains a domain of executive discretion, subject only to the general constraints of administrative law and fundamental rights—a precarious balance that future litigation may yet test.

The case, Narendra Kumar Goswami v. Union of India , serves as a reminder that in matters of technology policy, the judiciary may act as a catalyst for legislative action rather than as a direct regulator. For legal professionals, the message is clear: the debate over AI and constitutional rights has only just begun.