liveBook · Manning

Vertical regulation

As explained in Introduction to Generative AI, Second Edition

Vertical regulation governs a specific application, sector, or use of a technology rather than covering the technology's applications broadly.

Vertical regulation governs a specific application or sector of a technology instead of covering all of its uses broadly. It addresses concrete risks within defined domains. section 10.31

China illustrates this approach through separate measures for recommendation algorithms, deep synthesis such as deepfakes, and generative artificial intelligence. Requirements can address system design, deployment, transparency, and disclosures to authorities and the public. section 10.31

This model can respond quickly as technology changes: regulators revise rules, fill gaps, or expand existing requirements. Its cost is uncertainty, since developers may find compliance difficult to maintain across successive updates. section 10.31

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Defines vertical regulation, contrasts it with horizontal regulation, and explains its iterative benefits and compliance limitations.
Examples
Uses China’s 2021 recommendation-algorithm regulation, 2022 deep-synthesis rules, and 2023 draft generative-AI rules.
What you can do after
Evaluate how targeted regulation balances rapid policy updates against developer uncertainty and changing compliance demands.
How it connects
Connects vertical regulation with horizontal regulation, AI governance, recommendation algorithms, deepfakes, 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.