Redefining Licensing Strategies with Generative AI Models

Published On Wed Apr 09 2025
Redefining Licensing Strategies with Generative AI Models

Generative AI Models at the Gate: Licensing… | Compass Lexecon

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Expert economists Kadu Prasad and Jorge Padilla co-authored a paper commissioned by the International Federation of the Phonographic Industry (“IFPI”) on licensing frameworks for protecting copyright content in an AI world. Generative AI models, designed to create new content based on learned patterns, have the potential to impact various fields such as writing, video generation, marketing, education, healthcare, gaming, and finance.

Understanding Generative AI Models

Generative AI models do not memorize data but predict the next word, pixel, or note based on learned probabilities. Trained on vast amounts of content, these models create coherent and relevant responses when given prompts. However, concerns arise regarding the unauthorized use of copyrighted content for training AI models, potentially impacting creative industries.

AI, Copyright & Licensing | CCC

Copyright Protection in the AI Era

Copyright protection grants creators exclusive rights to their original works, ensuring control over reproduction, distribution, and monetization. AI-generated content poses challenges to industries reliant on copyright protection, such as publishing and music. Issues like AI-generated publishing flooding markets and AI-generated music infringing on copyright raise questions about protecting human creativity.

Policy Implications for Generative AI Models

Policymakers globally are proposing regulations to address challenges posed by generative AI models. Transparency, accountability, and balancing copyright protection with AI model development are key considerations. The voluntary licensing of exclusive copyright rights is crucial in maintaining investment incentives for content creators and fostering the development of enhanced AI models.

Synthetic Data, Data Protection and Intellectual Property: CIPIL ...

Conclusion

In conclusion, proper licensing and protection of copyrighted content for the training of generative AI models are essential for the continued development of both human-created content and valuable AI models. Balancing copyright protection with AI model innovation is key to ensuring a thriving creative ecosystem.

Lim, D. (2023). Generative AI and copyright: principles, priorities and practicalities. Journal of Intellectual Property Law and Practice, 18(12), 841-842, available at https://doi.org/10.1093/jiplp/....

References:

  1. Source 1
  2. EU AI Act
  3. US Generative AI Disclosure Act
  4. NO FAKES Act
  5. Interim Measures for the Management of Generative AI Services
  6. EU AI Act Article 53
  7. AI Models and Copyright
  8. Statutory Licensing Alternatives
  9. Balancing Copyright Protection