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Home Artificial intelligence beyond the basics 4. Planning for AI 4.2. Standards and data
4.2. Standards and data
Artificial intelligence beyond the basics

A pro-innovation approach to AI regulation

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Learning outcomes of the reading

Understand the approach to AI regulation

Part 1 - Introduction

  • The power and potential of artificial intelligence
  • Managing AI risks
  • The Terminology

Part 2 - The current regulatory environment - Naviating the current landscape


Part 3 - An innovative and iterative approach

  • Aims of the regulatory framework
  • The proposed regulatory framework

Part 4 - Tools for trustworthy AI to support implementation

  • AI assurance techniques
  • AI technical standards

Part 5 - Territorial application

  • Territorial application of the regulatory framework
  • Extraterritorial application of the regulatory framework

Part 6 - Global interoperability and international engagement

  • Our regulatory framework on the world stage

Part 7 -Conclusion and next steps

This learning maps to capability ID 3.3.2.3.27 of the Primary Domain 3. ethical, legal and regulatoryof the Artificial Intelligence (AI) and Digital Healthcare Technologies Capability Framework

Additional information

The framework set out in this white paper is deliberately designed to be flexible. As the technology evolves, our regulatory approach may also need to adjust. Our principles-based approach, with central functions to monitor and drive collaboration.

Resource details

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Contributed by: Artificial intelligence beyond the basics
Authored by: Department for Science, Innovation and Technology
Office for Artificial Intelligence
Licence: More information on licences
First contributed: 19 September 2024
Audience access level: Full user

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