The UK has pursued a distinctive path in AI regulation: less cautious than the EU but more willing to address risks than the USA, and has emerged as a global leader in coordinating AI safety efforts. Around 2012, developments from companies like London-based DeepMind sparked UK concerns about catastrophic risks, though regulatory discussion focussed on bias and discrimination. By 2022, this evolved into a “pro-innovation” government strategy: Existing regulators would take a light-touch approach to governing AI at point of use, with no overarching AI regulation. ChatGPT’s arrival later that year galvanised concerns that a more active response may be needed. The UK established an AI Safety Institute and hosted the first international AI Safety Summit in 2023, but—unlike the EU—refrained from regulating frontier AI systems. A new government elected in 2024 promised to address this, but at the time of writing it has yet to do so. What should the UK do next? The government faces competing objectives—harnessing AI for growth and better public services while mitigating risks. This chapter proposes a flexible, principles-based regulator to oversee the most advanced AI development; defensive measures against risks from AI-enabled biological design tools; and further technical work to understand how to respond to AI-generated misinformation. It also proposes updated legal frameworks on copyright, discrimination, and AI agents and outlines a possible role for regulators in protecting labour markets. If the UK gets AI regulation right, it could demonstrate how democratic societies can harness AI’s benefits while managing its risks.

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From Turing to Tomorrow: The UK’s Approach to AI Regulation

  • Oliver Ritchie,
  • Markus Anderljung,
  • Tom Rachman

摘要

The UK has pursued a distinctive path in AI regulation: less cautious than the EU but more willing to address risks than the USA, and has emerged as a global leader in coordinating AI safety efforts. Around 2012, developments from companies like London-based DeepMind sparked UK concerns about catastrophic risks, though regulatory discussion focussed on bias and discrimination. By 2022, this evolved into a “pro-innovation” government strategy: Existing regulators would take a light-touch approach to governing AI at point of use, with no overarching AI regulation. ChatGPT’s arrival later that year galvanised concerns that a more active response may be needed. The UK established an AI Safety Institute and hosted the first international AI Safety Summit in 2023, but—unlike the EU—refrained from regulating frontier AI systems. A new government elected in 2024 promised to address this, but at the time of writing it has yet to do so. What should the UK do next? The government faces competing objectives—harnessing AI for growth and better public services while mitigating risks. This chapter proposes a flexible, principles-based regulator to oversee the most advanced AI development; defensive measures against risks from AI-enabled biological design tools; and further technical work to understand how to respond to AI-generated misinformation. It also proposes updated legal frameworks on copyright, discrimination, and AI agents and outlines a possible role for regulators in protecting labour markets. If the UK gets AI regulation right, it could demonstrate how democratic societies can harness AI’s benefits while managing its risks.