Creative Commons in the AI Era

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  1. Authorship: AI complicates creator attribution, challenging traditional CC licenses based on human authorship.
  2. License Adaptation: CC is updating licenses to clarify rights for AI-generated content and attribution requirements.
  3. Training Data: AI use of CC-licensed works in training data raises fair use and permission concerns.
  4. Derivative Works: Determining whether AI outputs are derivative works under CC licenses is complex.
  5. Transparency: Standards for disclosing AI tools and datasets in creative processes may be needed.
  6. AI Commons: CC can promote ethical sharing of datasets and models for community-driven AI.
  7. Ethics: CC advocates for transparency and fairness in AI usage and licensing.
  8. Creator Guidelines: Best practices for using AI in CC-licensed works are under development.

CC aims to ensure openness and fairness while embracing AI’s potential.

Genx

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About The Author

Genx

Born in 1982 in Japan, he is a Japanese beatmaker and music producer who produces experimental hiphop beats. He is the owner of Genx Records. Because he grew up internationally, he understands English. His hobbies are muscle training, artwork creation, website customization, and web3. He also loves Korea.

Website: genxrecords.xyz

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