On Chip Governance

= using hardware encoded limitations in a geopolitical context

Contextual Quote

"“Implemented well, this would greatly aid enforcement, and reduce the need for top-down export controls that harm the competitiveness of the U.S. chip industry, instead enabling more surgical end-use/end-user–focused controls if desired. Later applications include enforcing the terms of future international agreements or other regulations that govern the large-scale training and deployment of AI models. Here, on-chip mechanisms could widen the space of possible agreements and policies by providing a trustworthy verification platform. For example, on-chip governance mechanisms could allow AI developers to credibly report “training runs” that exceed certain computation thresholds, as called for by a recent White House Executive Order.2 The existence of these mechanisms could allow for flexible and efficient international governance regimes for AI, allowing policymakers to think beyond the limitations of slow and complex structures such as the International Atomic Energy Agency (IAEA).”

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