Computing Power and the Governance of AI
Summary
The paper explores how computing power can be used to enhance AI governance through visibility, resource allocation, and enforcement mechanisms. It examines the technical and policy opportunities of compute governance while also highlighting potential risks.
Review
This comprehensive paper presents compute governance as a promising approach to managing AI development. The authors argue that computing power offers a distinctive opportunity for intervention due to its detectability, excludability, quantifiability, and concentrated supply chain. Unlike other AI inputs like data and algorithms, compute is a tangible resource that can be monitored, controlled, and regulated. The paper systematically explores how compute governance can enhance three key governance capacities: increasing visibility into AI capabilities, steering AI progress through resource allocation, and enforcing prohibitions against reckless AI development. The authors propose numerous policy mechanisms while maintaining a balanced perspective, acknowledging potential risks such as privacy concerns, centralization of power, and unintended economic consequences. They emphasize that the design and implementation of compute governance strategies are crucial, and recommend implementing safeguards to mitigate potential negative impacts.
Key Points
- Compute is a unique and trackable input to AI development with high governance potential
- Compute governance can enhance visibility, allocation, and enforcement of AI policy objectives
- Careful implementation is critical to avoid unintended negative consequences
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