The podcast explores the impact of computing power on AI governance, discussing strategies for monitoring, resource allocation, and rule enforcement. It delves into the risks and feasibility of leveraging compute for governance in AI development, highlighting the implications for safety goals and civil liberties. The chapter also explores the role of compute in enhancing AI governance efforts and discusses challenges and limitations of using computing power as a regulatory tool for AI progress.
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Quick takeaways
Increased computing power drives AI advancements, aiding in breakthroughs across various domains.
Governments can utilize Computing power for AI governance to monitor development, allocate resources, and enforce regulations effectively.
Deep dives
Role of Computing Power in AI Progress
Computing power, known as Compute, has been crucial for driving advancements in AI technology over recent years. The increase in the amount of compute used to train leading AI systems by a factor of 350 million has enabled significant AI breakthroughs across various domains. Governments are leveraging Compute for AI governance to pursue policy goals like controlling misuse risks and supporting domestic industries.
Feasibility and Properties of Compute Governance
Compute governance is considered feasible due to the detectability, excludability, and quantifiability of computing power. The concentration within the AI supply chain enhances the governance of Compute. Governments can use Compute to track AI development, manage resource allocation, and enforce regulations to govern AI effectively.
Effectiveness and Risks of Compute Governance
Although Compute governance can be an effective strategy for regulating AI, it may not be suitable for all cases. As algorithms and hardware improve, the necessity for high levels of computing power decreases, affecting the effectiveness of Compute governance. Additionally, intrusive governance measures risk impinging on civil liberties and fortifying authoritarian regimes, indicating the importance of implementing Compute governance with careful consideration and safeguards.
This post summarises a new report, “Computing Power and the Governance of Artificial Intelligence.” The full report is a collaboration between nineteen researchers from academia, civil society, and industry. It can be read here.
GovAI research blog posts represent the views of their authors, rather than the views of the organisation.