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India's publishers are suing OpenAI for improperly training their content, sparking a legal storm over copyright violations by generative AI models

A legal tempest is forming regarding copyright violations by generative AI systems, as publishers in India file a lawsuit against OpenAI for unapproved training on their materials

Deeksha Upadhyay 19 May 2025 12:55

India's publishers are suing OpenAI for improperly training their content, sparking a legal storm over copyright violations by generative AI models

What does Copyright mean?

Copyright is a legal entitlement given to creators to safeguard original literary, artistic, musical, and dramatic creations from unauthorized duplication or commercial exploitation.

Categories of Protected Works:

  • Literary (books, computer code)
  • Creative (artworks, patterns)
  • Musical (tunes, creations)
  • Theatrical (plays, scripts)
  • Film productions, audio recordings

Important Aspects of Copyright Law:

Protection of Expression, Not Concepts: Copyright secures the original expression (form, structure) of concepts, rather than the ideas themselves.

Exclusive Economic and Moral Rights: Creators obtain the authority to replicate, distribute, and profit from their creations, as well as moral rights such as credit and preservation.

Protection Period: In India, copyright typically endures for 60 years following the author’s demise, providing lasting financial advantages to their descendants.

Exceptions – Fair Use & Education: Certain uses such as private study or research are allowed; nonetheless, India's exceptions are more limited when compared to the expansive 'fair use' principle in the U.S.

Path Ahead:

Revise Legal Frameworks: Modify India’s Copyright Act to tackle AI-related issues such as data mining, consent, and attribution standards.

Establish AI-Generated Work Ownership: Provide restricted protection solely when a human plays a major role in AI-produced content, setting it apart from entirely automated creations.

Global Standardization: India may implement the EU’s even-handed strategy—permitting research data mining while mandating opt-outs for commercial purposes with well-defined regulations.

Guarantee Openness: Require the revelation of AI training data and origins to safeguard creators' rights and promote ethical AI advancement.

Foster Licensing Ecosystems: Advocate for organized, voluntary licensing markets enabling AI developers to legally and fairly obtain copyrighted material.

Conclusion

The development of copyright legislation needs to keep pace with the emergence of generative AI, safeguarding creators while not hindering technological advancement. As courts discuss infringement, lawmakers need to create a legal framework that is prepared for the future. A fair, transparent, and balanced copyright system is crucial for the growth of AI-powered creativity.

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