India's Legal Shifts: AI Copyright and Anti-Corruption Verdict - 2026-01-13

India's Legal Shifts: AI Copyright and Anti-Corruption Verdict

In a rapidly evolving legal landscape, India is confronting profound challenges at the intersection of technology and governance. Recent discussions and judicial pronouncements underscore the inadequacies of existing laws in handling artificial intelligence (AI)-generated creative works under the Copyright Act, 1957, while a split Supreme Court verdict has cast doubt on Section 17A of the Prevention of Corruption Act (PC Act), 1988, potentially easing investigations into public officials. These developments signal a critical juncture for Indian jurisprudence, urging lawmakers and legal practitioners to adapt to AI's disruptive influence on intellectual property rights (IPR) and the persistent battle against corruption. As generative AI tools like DALL-E blur the lines of authorship and the judiciary scrutinizes procedural safeguards that may shield the corrupt, the implications for artists, creative industries, and anti-corruption enforcement are far-reaching.

The AI-Copyright Conundrum: Human Authorship Under Siege

The Copyright Act, 1957, forms the bedrock of India's intellectual property framework, safeguarding literary, dramatic, musical, and artistic works. However, its foundational premise—that authorship is inherently human—has been thrust into the spotlight by the advent of generative AI. Section 2(d) of the Act defines the "author" in explicitly human-centric terms: for literary and dramatic works, it is the creator; for artistic works, the artist or photographer; and so forth. A narrow exception appears in Section 2(d)(vi), introduced via the 1994 Amendment to address early computer applications, which attributes authorship of "computer-generated" works to "the person who causes the work to be created." This provision, designed for rudimentary software outputs, now reveals its limitations when applied to sophisticated AI systems that autonomously produce content from minimal human inputs, such as text prompts.

Consider the process: When a user inputs a simple description into an AI model like DALL-E, the resulting image or artwork emerges from vast datasets trained on human-created content, with the AI algorithm handling the generation. Who, then, is the "author"? The ambiguity creates a legal vacuum, as articulated in legal analyses. Works generated with minimal human intervention may not qualify for protection, leaving creators in creative industries—artists, musicians, and photographers—vulnerable to uncompensated use or outright denial of rights. This issue cascades into ownership dilemmas under Section 17, which vests copyright initially in the author and presupposes clear human involvement. Absent identifiable authorship, ownership becomes uncertain, potentially deterring investments in AI-driven creativity and exposing industries to infringement risks without recourse.

Judicial precedent underscores this tension. In the Delhi High Court case of Navigators Logistics Ltd v. Kashif Qureshi , the court ruled that copyright cannot subsist in computer-generated compilations without substantial human creative involvement. This principle, established in a pre-AI era, now faces unprecedented tests with generative technologies of greater autonomy. Unlike the United Kingdom's Copyright, Designs and Patents Act, 1988, which under Section 9(3) designates the "author" of computer-generated works as the person making the necessary arrangements for creation, Indian law lacks such a pragmatic mechanism. This gap not only hampers enforcement but also positions India at a disadvantage in global creative markets, where AI tools are increasingly integral.

Recognizing these shortcomings, the Department for Promotion of Industry and Internal Trade (DPIIT) constituted an expert committee in April 2025 to evaluate legislative amendments. The committee's deliberations could introduce provisions attributing authorship to AI users or developers, or even expand fair use doctrines to accommodate AI training data. For legal professionals specializing in IPR, this signals a surge in advisory demands: clients in tech and media must navigate interim uncertainties, potentially through contractual workarounds like licensing agreements that emphasize human oversight. The stakes are high; without reform, India's creative sector—valued at billions and employing millions—risks stagnation as AI democratizes but also commoditizes artistry.

Supreme Court Split: Striking Down Safeguards for Public Servants

Parallel to the IPR challenges, the Supreme Court of India has delivered a landmark split verdict on the constitutionality of Section 17A of the PC Act, a provision mandating prior government sanction before initiating any inquiry or investigation into public servants for offenses under the Act. Inserted in 2018 amid concerns over misuse of anti-corruption laws against honest officials, Section 17A was intended as a protective shield. However, in a recent bench decision, Justice B.V. Nagarathna emphatically struck it down, viewing it as contrary to the PC Act's core objective of eradicating corruption.

In her detailed opinion, Justice Nagarathna argued that the provision undermines the Act's foundational purpose. "Section 17A of the Prevention of Corruption Act is contrary to the objects of the said Act and unconstitutional and hence ought to be struck down," she stated. "Object of the Section 17A to protect honest officers cannot override the objective of preventing corruption. Even a bare inquiry required to be conducted is completely precluded under Section 17A without prior sanction." She further critiqued the mechanism as an overreach, noting, "I hold that no prior approval is needed. This Section is nothing but an attempt to resurrect the Section which was struck down and is thus an attempt to protect the corrupt."

The judge highlighted structural flaws in the approval process, observing that given the government's composition, sanctions are unlikely to be granted, thereby thwarting allegations at the threshold. She contrasted this with Section 19 of the PC Act, which already provides safeguards against frivolous prosecutions, emphasizing that precluding even preliminary inquiries presumes all complaints are false. "Every such complaint cannot be frivolous and section 17A has an underlying presumption that any such complaint to the police will be false and frivolous," Justice Nagarathna remarked. While the split verdict—presumably with the other judge upholding the provision—will likely lead to a reference to a larger bench, the ruling already invigorates the anti-corruption apparatus.

This decision echoes prior judicial interventions, such as the striking down of similar safeguards in earlier corruption-related cases, reinforcing the judiciary's commitment to accountability. For criminal law practitioners, the implications are immediate: investigations into public servants, from bureaucrats to politicians, can proceed without bureaucratic hurdles, potentially accelerating probes into high-profile scandals.

Legal Implications and Comparative Perspectives

The dual developments reveal systemic tensions in Indian law's adaptability. In the copyright realm, the human authorship doctrine, rooted in 1957, clashes with AI's non-human creativity, fostering a "legal vacuum" for autonomous outputs. This not only affects subsistence of copyright but also enforcement—how does one sue for infringement of an AI-generated work without clear ownership? Comparative lenses sharpen this: The UK's arranger-based approach offers a model for India, potentially via DPIIT reforms, aligning with international treaties like the Berne Convention while protecting artists from AI "theft" through training data.

On the corruption front, Justice Nagarathna's verdict prioritizes substantive justice over procedural shields, interpreting the PC Act's objects to demand proactive prevention. Yet, it raises counter-concerns: Without Section 17A, honest officers may face harassment, though Section 19's dismissal provisions mitigate this. Legally, the split necessitates resolution by a Constitution Bench, testing Article 14's equality principles against corruption's societal harm.

Interwoven, these issues highlight a need for holistic reform. AI's role in governance—such as detecting corruption via algorithms—could intersect, but only if laws evolve. Legal scholars argue for a balanced framework, perhaps incorporating AI-specific authorship tests that quantify human input, much like the US Copyright Office's recent rejections of purely AI works.

Broader Impacts on Legal Practice and the Justice System

For legal professionals, these shifts demand specialized knowledge. IP attorneys must counsel on "hybrid" authorship, drafting clauses in AI tool licenses to ensure human attribution, while monitoring DPIIT outcomes—potentially leading to 2026 amendments. Litigation may rise, with challenges to AI outputs in courts, straining resources but fostering expertise in emerging fields like AI ethics.

In criminal practice, the verdict streamlines PC Act cases, empowering agencies like the CBI to launch inquiries swiftly. Prosecutors benefit from reduced delays, but defense counsel must pivot to early Section 19 motions against vexatious claims. The justice system gains efficiency, bolstering India's global anti-corruption ranking, yet risks overload if safeguards erode.

Broader societal impacts include empowered creative industries, where artists leverage AI without fear of unprotected works, and a cleaner public sector, deterring graft. However, without equitable reforms, disparities widen—small creators versus tech giants, or vulnerable officials versus the powerful.

Conclusion: Pathways Forward

India's legal odyssey with AI and corruption underscores the urgency of innovation-friendly laws. The Copyright Act's human-centric flaws and Section 17A's dubious constitutionality demand proactive intervention: DPIIT's committee for IPR, and a full SC bench for the PC Act. As 2025 unfolds, legal professionals stand at the vanguard, shaping a jurisprudence that balances protection with progress. These developments, though challenging, herald a more resilient framework, ensuring India's creative and governance sectors thrive in the AI era while upholding integrity.