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Governing in the Age of AI

governing-ai

Governing in the Age of AI

The challenge

As AI reshapes economies and societies, governments worldwide face a critical question: how can they govern effectively in an AI-driven world?

This question has two components:

  • Governing with AI: How can government use AI to make better policy decisions and to improve the provision of public services?
  • Governing AI: What regulatory frameworks can ensure that AI-driven innovation benefits societies and economies while minimising risks and safeguarding the public?

Our research

The Governing in the Age of AI group (GAIA) seeks to advance the science of governing in the age of AI, with a focus on:

  • Governing with AI. The size and scope of the public sector mean that the potential opportunities for AI-driven innovation are huge. These include:
    • AI for policy decisions: In large states like the UK, 52,000 policy choices allocate £1.2 trillion in public funds each year. AI and data science can revolutionize the way policy decisions are made by identifying cross-sectoral impacts, such as interdependencies between health and education. The group develops AI models and methodologies to help policymakers understand the economic and social consequences of their decisions.
    • AI for public services: Over 75% of Britons believe key public services have deteriorated in recent years. AI has immense potential to improve service delivery and public sector productivity, but these aims are hard to achieve. The research group will examine critical questions such as: How can AI be deployed equitably, without exacerbating inequalities? How can the government maintain the public’s trust as AI adoption expands?
  • Governing AI. There is a flurry of activity around the world as governments and international organisations work on creating laws and regulations that foster AI innovation while mitigating risks. The research group will explore two key challenges in AI governance:
    • International alignment: AI development and advancement are global issues. If countries follow their own path, not only will this lead to a fragmented and inefficient AI market, it will also fail to prevent current and future harms linked to AI innovation. The group explores how nations can collaborate to create coherent, effective AI governance frameworks.
    • Implementation: Effective AI regulation requires consistency and coherence. The group investigates questions related to regulatory readiness for AI, capacity needs, and how to bring consistency and coherence to a complex regulatory landscape.

GAIA’s research explores these issues from a range of disciplinary perspectives, including political science, economics, social data science, computer science, public policy and administration.

Our impact

The findings generate actionable insights for policymakers and practitioners and tackle enduring policy challenges, such as equity, productivity and economic growth.

Our team

Visiting team members

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