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Definitions

Legal terms and doctrines used in AI-law analysis, cross-linked to cases and statutes.

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Copyright

A bundle of exclusive rights granted to authors of original works fixed in a tangible medium.

Copyright · Federal

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Reproduction Right

The exclusive right to reproduce a copyrighted work in copies or phonorecords.

Copyright · Federal

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Fair Use

A copyright doctrine allowing limited unauthorized use of copyrighted works.

Copyright · Federal

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Transformative Use

A use that adds new expression, meaning, or message rather than merely superseding the original.

Copyright · Federal

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Training Data

The corpus of examples used to optimize a machine learning model's parameters.

Copyright · Federal

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Model Weights

Numerical parameters learned during training that encode patterns from training data.

Copyright · Federal

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Memorization

When a model reproduces training data verbatim or near-verbatim in outputs.

Copyright · Federal

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Market Harm

The effect of a use on the value of or market for the copyrighted work.

Copyright · Federal

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Licensing Market

An established or emerging market in which copyright owners license works for specific uses.

Copyright · Federal

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Pirated Training Data

Training corpora alleged to include unlawfully copied or distributed works.

Copyright · Federal

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Output Substitution

When AI-generated outputs serve as functional replacements for copyrighted works.

Copyright · Federal

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Intermediate Copying

Temporary or internal copies made as an incidental step to a later non-infringing use.

Copyright · Federal

Aidicia is an educational legal research portfolio. It does not provide legal advice, create a lawyer-client relationship, or replace advice from a licensed attorney.