The Legal and Copyright Implications of Using AI-Generated Content in India

The Legal Grey Zone Every Indian Business Is Operating In

Thousands of Indian businesses are publishing AI-generated content daily: blog posts, marketing copy, product descriptions, social media graphics, and even code. Most are doing so without understanding the legal implications. The Indian legal framework for AI-generated content is still evolving, and the gap between technology adoption and regulatory clarity creates real risk for businesses that fail to prepare.

This is not a theoretical concern. In 2024, the Delhi High Court admitted a petition questioning the copyrightability of AI-generated artwork. The Copyright Office has received applications for AI-generated works. And businesses using AI content without proper attribution or disclosure are increasingly exposed to consumer protection and advertising standards challenges.

Copyright Law and AI Content: The Indian Position

The Authorship Question

India's Copyright Act, 1957 defines an author as the person who creates the work. For computer-generated works, Section 2(d)(vi) recognises the person who causes the work to be created as the author. This provision, originally drafted for database-generated outputs, is now being tested against generative AI.

The critical question is: who is the author of an AI-generated blog post? The person who wrote the prompt? The company that developed the AI model? The AI itself? Indian courts have not definitively answered this question, but the prevailing legal interpretation leans toward the person who provides the creative direction (the prompt engineer or the commissioning business) being considered the author, provided sufficient human creative input is involved.

The Originality Threshold

Indian copyright law requires "originality" for protection. The Supreme Court in Eastern Book Company v. D.B. Modak established that originality requires a minimum degree of creativity beyond mere mechanical effort. AI-generated content that involves significant human creative input in prompting, selecting, and editing likely meets this threshold. Purely automated output with minimal human intervention may not.

Practical Implications for Businesses

• AI-assisted content (human prompts, selects, edits): Likely copyrightable with the human contributor as author
• Fully automated AI content (no meaningful human input): Copyright protection is uncertain
• AI-generated content using copyrighted training data: Potential infringement claims from original content creators

Liability Risks for AI-Generated Content

Defamation and Misinformation

If AI-generated content published by your business contains defamatory statements, factual inaccuracies, or misleading claims, your business bears full liability. The fact that AI generated the content is not a defence. Indian defamation law under Section 499 of the Indian Penal Code (now Bharatiya Nyaya Sanhita Section 356) and the civil law of torts hold the publisher responsible regardless of the creation method.

This is particularly relevant for businesses using AI to generate product reviews, testimonials, or comparative marketing content. If AI fabricates claims about a competitor or generates false product benefits, the publishing business faces both criminal and civil liability.

Consumer Protection and Advertising Standards

The Consumer Protection Act 2019 and the Advertising Standards Council of India (ASCI) guidelines apply equally to AI-generated marketing content. Key areas of concern include:

• Misleading advertisements: AI-generated ad copy that makes unsubstantiated claims violates ASCI guidelines
• Fake testimonials: Using AI to generate customer testimonials is deceptive under consumer protection law
• Price and offer accuracy: AI-generated promotional content must accurately reflect actual pricing and terms

Data Privacy Under DPDPA 2023

The Digital Personal Data Protection Act 2023 introduces obligations relevant to AI content operations:

• If you input personal data into AI tools for content generation, you must have proper consent and a lawful purpose
• Cross-border data transfer restrictions apply when using AI tools hosted outside India
• Data retention limitations require you to delete personal data used for AI processing once the purpose is fulfilled

Disclosure Requirements and Best Practices

Current Regulatory Position

India does not yet have a comprehensive AI disclosure law. However, several regulatory trends suggest disclosure requirements are coming:

• ASCI's 2023 guidelines require disclosure of AI involvement in influencer marketing content
• SEBI has flagged the use of AI-generated research reports without disclosure as a concern for market manipulation
• The proposed Digital India Act is expected to include AI transparency provisions

Recommended Disclosure Framework

Regardless of current legal requirements, Indian businesses should adopt a proactive disclosure framework:

Intellectual Property Considerations for Training Data

The Fair Use Debate

Most generative AI models are trained on vast datasets that include copyrighted material. Whether this constitutes fair use (or "fair dealing" under Indian law) is one of the most contested legal questions globally. India's fair dealing provisions under Section 52 of the Copyright Act are narrower than US fair use, potentially making training on copyrighted data more legally vulnerable in India.

Protecting Your Own Content

Indian businesses should also consider the reverse scenario: your published content being used to train AI models without permission. Steps to protect your intellectual property include:

• Include clear terms of use prohibiting AI training scraping on your website
• Implement robots.txt directives blocking known AI crawlers
• Register important creative works with the Copyright Office for stronger enforcement
• Monitor for AI-generated content that closely resembles your proprietary material

Contractual Safeguards

When engaging AI tools and services, Indian businesses should ensure contracts address:

• Ownership clauses: Explicitly state who owns AI-generated outputs. Most AI tool terms of service assign ownership to the user, but verify this for each tool
• Indemnification: Ensure the AI provider indemnifies against intellectual property infringement claims arising from their model
• Data handling: Specify how input data is processed, stored, and whether it is used for model training
• Liability limitations: Understand what liability the AI provider accepts for inaccurate or harmful outputs

Building a Compliance-Ready AI Content Practice

1. Establish an AI content policy: Document which content types can use AI assistance, required human review levels, and disclosure standards
2. Maintain generation records: Log all AI-generated content with prompts, timestamps, tools used, and human review records
3. Implement mandatory human review: No AI-generated content should be published without human review for accuracy, brand compliance, and legal risk
4. Train your team: Ensure everyone involved in content creation understands the legal boundaries and your internal policies
5. Stay current with regulations: Assign responsibility for monitoring regulatory developments in AI governance

Legal compliance is not a constraint on AI adoption. It is the foundation that makes sustainable AI adoption possible.

At AnantaSutra, we help Indian businesses navigate the intersection of AI innovation and legal compliance. Our frameworks ensure your AI content operations are both productive and protected. When you need clarity on AI governance, our team is ready to guide you.