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License

As explained in Introduction to Generative AI, Second Edition

Licensing is the granting of permission to use, modify, distribute, or commercialize a work under specified legal terms.

A license is permission to use, modify, distribute, or commercialize a work under specified legal terms. In technology, those terms can govern both software code and data, even when the material is publicly available. section 4.12

Licenses can differ in several important ways:

  • The MIT License is permissive: it allows reuse, including reuse inside proprietary software. section 4.12
  • Other licenses may restrict use to noncommercial purposes, require attribution, or impose several conditions. section 4.12
  • Code and data licenses are legally enforceable, so sharing material publicly does not necessarily remove its conditions of use. section 4.12

Licensing becomes especially contested when artificial intelligence systems are trained on code, images, video, voices, or other creative work. The dispute over GitHub Copilot illustrates the uncertainty: developers allege open-source license violations, while the defendants argue that the code was willingly shared. Copyright and fair-use questions do not automatically resolve whether license terms were followed. section 4.12

Licensing a creator's work or likeness

A YouTube creator can sign an individual contract licensing video footage to an AI developer. A person may also license a likeness or voice for an AI product, seeking payment or creative control. Such agreements can still produce disputes about consent, imitation, and the legal status of synthetic voices or faces. section 4.13 section 4.15

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Defines common license conditions and legal enforceability, then stops short of resolving unsettled copyright, fair-use, and synthetic-identity questions.
Examples
Uses the MIT License, GitHub Copilot litigation, creator contracts, data marketplaces, and AI voice licensing disputes.
What you can do after
Evaluate how license terms shape reuse, commercialization, attribution, training data, and creator compensation.
How it connects
Connects open source, copyright, fair use, intellectual property, data licensing, and generative AI.

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