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Data privacy regulation

As explained in Introduction to Generative AI, Second Edition

Privacy regulation is the body of legal rules governing the collection, storage, processing, disclosure, and disposal of personal data.

Data privacy regulation governs how personal data is obtained, stored, processed, disclosed, shared, and disposed of. It aims to protect individual rights and hold organizations accountable for their handling of identifiable information. section 3.13 section 3.14

These rules developed from concerns about government databases in the 1970s and 1980s. Early national laws emphasized accuracy and security; later frameworks expanded toward accountability and broader individual protections. section 3.14

Core regulatory concerns include:

  • Limiting collection, controlling disclosure and secondary use, enabling record correction, and protecting data security. section 3.14
  • Requiring accountability for how organizations obtain, use, store, and share personal data. section 3.14
  • Assessing whether artificial intelligence systems have a lawful basis, adequate transparency, and appropriate user controls. section 3.13

Privacy enforcement around language models

In 2023, Italy’s data protection authority temporarily restricted ChatGPT over concerns about transparency, lawful processing, and age verification. In 2025, European Union regulators investigated DeepSeek over possible processing of residents’ personal data without a clear legal basis. These cases illustrate that enforcement practices for language models remain unsettled. section 3.13

Figure 3.4 A timeline of data protection laws
A line of white dots on a black background

AI-generated content may be incorrect.

A timeline connects early national privacy laws, international principles, the Data Protection Directive, and the General Data Protection Regulation. section 3.14

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Explains regulatory purposes, historical foundations, and enforcement examples while stopping short of detailed statutory analysis.
Examples
Uses Sweden’s 1973 law, United States Fair Information Practices, ChatGPT restrictions, and a DeepSeek investigation.
What you can do after
Evaluate how AI systems gather and process personal data against transparency, lawful-basis, accountability, and user-control concerns.
How it connects
Connects data protection laws with Fair Information Practice Principles, accountability, artificial intelligence, and data governance.

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This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.