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Public domain

As explained in How Large Language Models Work

The public domain is the status of works and data that are not protected by applicable intellectual property rights and may generally be used without permission or compensation.

The public domain is the status of works and data that intellectual property laws do not protect. People can generally use them without asking permission or compensating the original copyright owner. section 9.3.3

Works and data can enter the public domain in several ways:

  • Copyright can expire because a work is old. section 9.3.3
  • Some material is not copyrightable, including factual information, statistics, and data generated without substantial human creative input. section 9.3.3
  • Law can place work in the public domain; US federal work products are one stated example. section 9.3.3
  • Public-domain material may be combined with data released under terms such as the MIT license or particular Creative Commons licenses. section 9.3.3

Why public-domain data is not automatically good training data

A large collection of public-domain works may be dominated by older texts. Those texts can contain outdated scientific information, unfamiliar language, stereotypes, and cultural assumptions that differ sharply from current audiences. Public-domain status removes some copyright concerns, but it does not remove quality, relevance, bias, or legal-status questions. section 9.3.3 section 9.6

How How Large Language Models Work covers it

How deep it goes
Defines the status, lists routes into it, and examines age-related bias without resolving every legal-status question.
Examples
Uses old books, factual information, statistics, US federal work products, and older copyright timelines as examples.
What you can do after
Evaluate public-domain data as a training source while checking legal status, age, cultural fit, accuracy, and bias.
How it connects
Connects public domain with copyright, intellectual property, open licenses, fair use, implicit bias, and language-model training.

Also explained in

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This explainer was generated by Manning's knowledge graph from the text of How Large Language Models Work. The section links point to the parts of the book it draws on.