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Copyright

Copyright is a legal protection granting rights holders exclusive rights over specified uses of original expressive works, subject to applicable limitations.

How 5 Manning books explain it

Introduction to Generative AI, Second Edition

Copyright is an exclusive legal right over an original work of creative expression, including rights to copy, distribute, display, or perform it for a limited period.

How it is used
Frames legal questions about AI training data, generated outputs, and creators’ rights.
How deep it goes
Defines exclusive rights and duration, then outlines US authorship policy and contested training uses without resolving individual claims.
Examples
Uses AI-generated images and the Copilot lawsuit to illustrate output ownership and training-data disputes.
What you can do after
Evaluate/understand the distinction between protecting an AI-assisted output and using copyrighted work to train a model.

Read how Introduction to Generative AI, Second Edition explains copyright →

LLMs in Production

A legal right that grants creators control over the reproduction and distribution of their original works.

How it is used
Frames copyright as a production risk for AI systems that train on, imitate, or reproduce creative and proprietary content.
How deep it goes
Examines infringement mechanisms and business consequences but stops short of resolving applicable legal standards.
Examples
Uses style imitation, verbatim plagiarism, and The New York Times v. OpenAI as concrete cases.
What you can do after
Evaluate AI training and output risks involving unauthorized use, copied expression, and possible commercial harm.

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Grokking AI Algorithms, Second Edition

Copyright is a legal system granting creators exclusive rights over the reproduction, distribution, and adaptation of original works.

How it is used
Guides legal and ethical choices when collecting text and image data for model training.
How deep it goes
Defines public-domain status and flags copyright concerns, but stops short of explaining rights, licensing procedures, or legal tests.
Examples
Uses public-domain books, web-scraped images, and synthetic 3D renders to contrast training-data sources.
What you can do after
Evaluate training-data sources by identifying public-domain material and recognizing when licensing or alternative data may be needed.

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Learn AI-Assisted Python Programming, Second Edition

Copyright is a legal protection granting creators exclusive rights over specified uses of original expressive works, including software code.

How it is used
Flags copyright and licensing risk when AI assistants generate code for reuse beyond personal experimentation.
How deep it goes
Explains training data, similarity, licensing, and unsettled ownership, but stops short of resolving current legal debates.
Examples
Uses Copilot’s GitHub training repositories and its similarity-and-license notification feature as concrete examples.
What you can do after
Apply it via Copilot’s similarity and license checks before deploying generated code outside the home.

Read how Learn AI-Assisted Python Programming, Second Edition explains copyright →

How Large Language Models Work

Copyright is a legal protection that grants creators or rights holders control over specified uses of original expressive works for a limited period.

How it is used
Frames copyright as an ethical and legal constraint on collecting content for LLMs.
How deep it goes
Explains fair use through four balancing factors but stops short of resolving how courts will treat LLM training.
Examples
Uses negative product reviews, student training, and LLM training data to illustrate competing uses.
What you can do after
Evaluate proposed uses by weighing purpose, work type, amount used, and effects on the original market.

Read how How Large Language Models Work explains copyright →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.