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Computing Power and the Governance of AI | GovAI Blog

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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. ‍ Computing power – compute for short – is a key driver of AI progress. Over the past thirteen years, the amount of compute used to train leading AI systems has increased by a factor of 350 million. This has enabled the major AI advances that have recently gained global attention. ‍Governments have taken notice. They are increasingly engaged in compute governance: using compute as a lever to pursue AI policy goals, such as limiting misuse risks, supporting domestic industries, or engaging in geopolitical competition. ‍There are at least three ways compute can be used to govern AI. Governments can: Compute governance is a particularly important approach to

Computing Power and the Governance of AI | GovAI About Research Opportunities Team Analysis Alumni Updates Donate Computing Power and the Governance of AI Recent AI progress has largely been driven by increases in the amount of computing power used to train new models. Governing compute could be an effective way to achieve AI policy goals, but could also introduce new societal risks. ‍ Lennart Heim,* Markus Anderljung, Emma Bluemke, Robert Trager Research Posts February 14, 2024 This post summarises a new report, “Computing Power and the Governance of Artificial Intelligence.” The full report

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