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Regulation

A regulation is a binding rule or requirement established by an authorized body to govern conduct, activities, or operations.

How 5 Manning books explain it

The Art of AI Product Development

A regulation is an authoritative rule or requirement imposed by a governing authority on organizations, products, or activities.

How it is used
Positions regulation as both a source of AI opportunities and a constraint to check before product development.
How deep it goes
Outlines discovery checks, risk assessment, privacy-by-design, and ongoing audits without detailing individual legal requirements.
Examples
Uses mandatory sustainability reporting as an automation opportunity and healthcare recommendations as a high-stakes compliance decision.
What you can do after
Practice early compliance checks and continuing audits while validating whether a regulated AI opportunity serves customers.

Read how The Art of AI Product Development explains regulation →

LLMs in Production

A regulation is a rule or legal requirement established by a government or other authority to govern conduct or activities.

How it is used
Frames regulation as a production concern for teams turning LLM demonstrations into products used in the real world.
How deep it goes
Defines artificial intelligence and discusses liability, jurisdiction, and examples, but stops short of a complete compliance framework.
Examples
Uses Utah’s SB-149 Artificial Intelligence Amendments bill and piecewise functions versus LLM agents to clarify regulatory scope.
What you can do after
Evaluate potential legal ramifications and regulatory exposure before deploying an LLM product.

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Investing for Programmers

Regulation is an enforceable rule or system of rules governing activities, products, or organizations.

How it is used
Evaluates regulatory burden as startup risk and checks licensing before monetizing financial advice.
How deep it goes
Compares regulated and less-regulated startups and flags licensing checks, but does not detail specific rules or compliance procedures.
Examples
Uses mRNA-vaccine biotech, AI messenger platforms, and paid financial advice as regulatory comparisons.
What you can do after
Evaluate regulatory exposure and verify local licensing requirements before charging for financial advice.

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Data for All

A regulation is a binding rule issued by a public authority to govern conduct or implement and enforce law.

How it is used
Frames government regulation as a tool for protecting data rights and directing corporate and public data practices.
How deep it goes
Explains regulation’s democratic rationale and economic role, but stops short of legal text, enforcement procedures, or specific regulatory regimes.
Examples
Uses public sentiment surveys, Open Data policy, and Google and Facebook advertising revenues as concrete illustrations.
What you can do after
Evaluate why public rules may be needed when commercial incentives discourage voluntary changes to data practices.

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Introduction to Generative AI, Second Edition

A regulation is a binding rule issued or established by a governmental authority to control conduct or activities.

How it is used
Governs AI development and use in response to safety, privacy, misuse, economic, and social risks.
How deep it goes
Contrasts binding oversight with voluntary commitments and self-governance, but does not detail legal mechanisms or specific statutes.
Examples
Uses an AI-company agreement and seventeenth-century trader collectives to compare voluntary standards with government oversight.
What you can do after
Evaluate how voluntary commitments, industry standards, and government enforcement distribute responsibility for managing AI risks.

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

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.