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Horizontal regulation

As explained in Introduction to Generative AI, Second Edition

Horizontal regulation establishes broadly applicable requirements across applications of a technology.

Horizontal regulation establishes broadly applicable requirements across applications of a technology. In artificial intelligence (AI) governance, it aims to address risks across the technology rather than regulate only one use, as with vertical regulation. section 10.31

Its broad scope creates both advantages and practical tensions:

  • Covers multiple AI applications under a common framework, as the European Union’s AI Act aims to do. section 10.31
  • Can provide consistent expectations for developers, but broad rules may struggle to fit rapidly changing technologies and varied risks. section 10.31
  • Differs from China’s iterative, vertical approach, which began with recommendation algorithms, expanded to deep synthesis, and later addressed generative AI. section 10.31

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Defines horizontal regulation and contrasts it with vertical regulation, stopping short of detailed legal analysis or implementation guidance.
Examples
Uses the European Union’s AI Act as a horizontal example and China’s staged AI rules as a vertical comparison.
What you can do after
Evaluate AI regulatory strategies by comparing technology-wide frameworks with iterative, application-specific requirements.
How it connects
Connects horizontal regulation with vertical regulation, AI governance, recommendation algorithms, deep synthesis, and generative AI.

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.