RBI FREE-AI COMMITTEE REPORT: Framework for Responsible and Ethical Enablement of Artificial Intelligence; August 13, 2025.

Summary

The article discusses the legal challenges of assigning accountability for intellectual property infringements involving AI-generated content within the framework of Indian and international law. India’s existing intellectual property (IP) laws require human authorship for copyright protection, creating gaps as AI autonomously generates content from copyrighted training data without clear attribution or liability. The need for updated legal frameworks that protect human creativity while accommodating AI-driven innovation is emphasized.

The Reserve Bank of India (RBI) has addressed accountability and governance challenges of AI through its Framework for Responsible and Ethical Enablement of Artificial Intelligence (FREE-AI). This comprehensive blueprint for India’s financial sector centers on seven foundational principles (called “Sutras”) focusing on trust, fairness, accountability, inclusiveness, transparency, and sustainability, accompanied by a set of 26 actionable recommendations across six strategic pillars: infrastructure, policy, capacity, governance, protection, and assurance.

Background

• Generative AI tools that autonomously create text, images, and other creative works challenge India’s copyright regime rooted in human imagination and skill.
• Indian law currently lacks provisions to assign IP ownership or liability to AI or AI developers, making enforcement difficult when AI-generated content infringes copyrights.
• Global bodies like WIPO and jurisdictions including the EU, UK, and US are experimenting with their approaches, but harmonized standards remain elusive.
• The RBI’s FREE-AI framework outlines how regulated financial entities should deploy AI responsibly, balancing innovation and risk.

Legal & Regulatory Analysis

• Indian IP laws focus on human authorship and intentional infringement, which are difficult to apply to probabilistic, algorithmic AI outputs.
• The RBI’s framework recommends a hierarchical model for liability: accountability lies first with the user for deliberate misuse, then developers for failures in safeguards, and finally with platforms when enabling or profiting from unauthorized use.
• To address AI-related risks, RBI emphasizes robust AI governance arrangements including continuous auditing, risk categorization, incident reporting, and transparency in data sources and decision processes.
• The framework promotes “people first” principles where AI augments but does not replace human judgment, ensuring explainability and right of redress.
• Establishing data infrastructures, innovation sandboxes, capacity building, and adaptive policies are key to fostering ethical AI adoption at scale.

Conclusions & Recommendations

• India currently faces a legal vacuum in regulating AI accountability for IP infringements, risking unchecked exploitation and diminished human creative rights.
• Legal and regulatory reforms are needed to create new categories recognizing AI-assisted works and clarifying the roles and responsibilities of stakeholders in the AI ecosystem.
• Mandatory transparency around AI training data, use disclosures, and risk mitigation strategies are core to protecting creators and consumers.
• The RBI FREE-AI framework’s principled approach provides a model for balancing AI innovation with safeguards, emphasizing trust as the foundation for AI adoption in sensitive sectors.
• Voluntary measures like ethical AI certification and continuous collaboration between government, industry, and academia can complement legal reforms to build a resilient and inclusive digital innovation environment in India.

This synthesis incorporates the detailed regulatory vision and recommendations from the RBI’s FREE-AI framework in guiding responsible AI governance and legal accountability in India, especially in the context of intellectual property rights affected by AI-driven creation and infringement.

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WHAT YOU NEED TO KNOW BEFORE DEPLOYING AI IN INDIA: THE LEGAL BASICS

Navigating the Regulatory Landscape Before Deploying AI Technology in India

As artificial intelligence (AI) steadily reshapes diverse industries, organizations seeking to harness its power must carefully navigate a complex and evolving legal environment. India, emerging as a key global AI hub, is witnessing rapid changes in data protection, sectoral regulations, and emerging AI-specific laws that govern how AI systems can be developed and deployed responsibly.

Foundations in Data Protection and Privacy

The backbone of lawful AI use lies in compliance with data protection frameworks. India’s Digital Personal Data Protection Act, 2023 (DPDP Act) significantly tightens requirements around consent, data minimization, and accountability. Enterprises utilizing personal data to train AI models or offer AI-powered services must prioritize robust consent mechanisms and clearly articulate data processing purposes. Violations risk severe penalties, with fines reaching up to ₹250 crore, underscoring the critical nature of privacy compliance.

Sector-Specific Regulatory Scrutiny

Beyond general data privacy norms, sector regulators are increasingly attentive to the nuances of AI use within their domains. For instance, the banking sector mandates adherence to fair lending and credit reporting laws when AI aids lending decisions. Healthcare providers leveraging AI-assisted diagnostics must comply with medical device regulations and safeguard patient confidentiality rigorously. Regulators may also mandate transparency through algorithmic audits, documentation, and, where required, prior approvals — ensuring AI does not circumvent established compliance safeguards.

The Rise of AI-Centric Regulations

Globally, AI-specific regulatory measures are crystallizing around risk-based frameworks. The European Union’s AI Act, set to come into force by 2026, exemplifies this with tiered obligations depending on AI applications’ risk profiles. Other jurisdictions have introduced localized mandates targeting AI-driven hiring decisions, content moderation, and recommendation algorithms. Given this accelerating regulatory patchwork, Indian organizations must maintain vigilant monitoring of international developments to strategically align AI initiatives with forthcoming legal standards.

Intellectual Property Challenges in the AI Era

The intersection of AI and intellectual property (IP) law presents distinctive complexities. Copyright law grapples with AI training on copyrighted works without explicit permission, while patent law does not presently recognize AI as an inventor, mandating human attribution to secure patent rights. Trade secret protections guard proprietary AI models, but often constrain transparency critical for explainability. Meticulous license management and legal counsel involvement remain indispensable to prevent inadvertent IP infringements linked to AI components or generated outputs.

Accountability and Liability: Who Bears the Burden?

Presently, Indian law holds organizations deploying AI liable under traditional product liability or negligence doctrines for damages caused by AI system failures or errors. While no standalone AI liability framework exists yet, ongoing legislative dialogues, including proposals akin to the EU’s AI Liability Directive, seek to establish clearer accountability regimes. Companies should proactively document AI decision-making processes, incorporate risk assessments, and revisit insurance coverage to encompass AI-related exposures.

Indian Cyber Laws and Content Governance

The Information Technology Act, 2000 (IT Act), supplemented by recent rules, governs offenses such as unauthorized data access and digital content moderation. The Ministry of Electronics and IT (MeitY) has issued advisories emphasizing that AI-generated content must respect existing laws against unlawful material, misinformation, and hate speech. Consequently, AI implementations producing user-facing content are held to the same legal standards as traditional content creators, ensuring accountability.

Practical Guidance for AI Deployments

To effectively harness AI benefits while avoiding legal pitfalls, organizations should:

• Conduct comprehensive jurisdictional analyses encompassing data privacy, sectoral rules, IP rights, and content regulations.
• Establish continuous monitoring teams tasked with tracking evolving AI-related legal changes worldwide.
• Forge close partnerships with Data Protection Officers and legal advisors to embed compliance in AI design and operations.
• Implement strong governance frameworks emphasizing transparency, human oversight, and ethical AI practices.
• Adopt proactive disclosure, consent, and risk mitigation strategies aligned with legal mandates.

Conclusion

As AI technologies advance, India’s regulatory and legal ecosystems are transforming to provide guiding guardrails for innovators and users alike. Companies that anticipate and integrate these evolving requirements will not only mitigate risks but also fortify trust with customers and regulators, positioning themselves as responsible leaders in an AI-driven future.