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Governing artificial intelligence for planetary health.

Felix Creutzig1, Fatima Denton2, Emmie Hine3

  • 1Bennett Institute for Innovation and Policy Acceleration, University of Sussex, Brighton, UK; Potsdam Institute for Climate Impact Research, Potsdam, Germany.

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Summary
This summary is machine-generated.

Global governance of artificial intelligence (AI) is crucial. AI should be managed as a global commons, addressing social, planetary, and safety risks through coordinated data, energy, and compute regulations.

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Area of Science:

  • AI Governance
  • Global Public Goods
  • Risk Classification

Background:

  • Increasingly pressing challenge to establish global AI governance.
  • Diverse debates on AI focus on economic, social, environmental, or safety aspects.
  • Need for coordinated interventions to mitigate AI's harmful effects.

Purpose of the Study:

  • Classify AI risks and challenges across social, planetary, and safety domains.
  • Propose AI governance as a global commons.
  • Identify key regulatory dimensions for AI.

Main Methods:

  • Risk and challenge classification across three domains.
  • Analysis of inter-domain feedback loops and root drivers.
  • Identification of regulatory dimensions: data, energy, and compute.

Main Results:

  • AI risks are categorized across social, planetary, and safety domains.
  • AI requires governance as a global commons with cross-domain interventions.
  • Data, energy, and compute are identified as critical regulatory dimensions.

Conclusions:

  • Emphasize limiting agentic AI and incentivizing depolarizing algorithms.
  • Advocate for setting AI dynamics within global equity.
  • Urgent need for coordinated global AI governance.