liveBook · Manning

Compliance

As explained in Introduction to Generative AI, Second Edition

Compliance is adherence to applicable laws, regulations, policies, standards, or contractual requirements.

Compliance means following applicable laws, regulations, policies, standards, or contractual requirements. In sectors such as information technology and food production, complex regulations can make compliance difficult even for smaller firms. section 6.3

AI-assisted compliance can support organizations by:

  • Turning regulations into systems that make compliance determinations. section 6.3
  • Answering questions across legal, regulatory, and tax domains. section 6.3
  • Applying workplace policies, privacy controls, consent requirements, and usage monitoring to reduce governance risks. section 3.12

A cautious deployment pattern

An organization can first test an AI compliance tool in a closed sandbox, review its privacy policies, restrict confidential information, obtain user consent where needed, and monitor usage. Hallucinations and mistakes remain possible, so the tool should not be relied on uncritically. section 6.3 section 3.12

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Explains AI-assisted determinations and governance safeguards, but stops short of implementation detail.
Examples
Uses Norm.ai, Harvey AI, sandbox testing, privacy reviews, consent, and usage monitoring as concrete examples.
What you can do after
Operate/configure AI-assisted compliance cautiously through sandbox testing, workplace policies, privacy review, consent, and monitoring.
How it connects
Links regulatory compliance with legal research, generative AI, data privacy, and workplace policies.

Also explained in

Compare how 12 books explain compliance →

Related concepts

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.