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GovAI's research on KYC schemes for compute providers

government

Credibility Rating

4/5
High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: Centre for the Governance of AI

A GovAI policy paper relevant to those studying compute governance and AI oversight mechanisms; pairs well with literature on export controls, compute thresholds, and hardware-based AI regulation.

Metadata

Importance: 72/100policy briefanalysis

Summary

This GovAI research paper proposes a 'Know Your Customer' (KYC) framework adapted from financial regulation to govern access to large-scale compute resources used for training frontier AI models. By requiring compute providers to verify and monitor their customers, the scheme aims to create accountability and enable oversight of who is developing powerful AI systems. The proposal positions compute as a chokepoint for enforcing AI governance measures.

Key Points

  • Adapts KYC financial compliance mechanisms to AI compute supply chains, requiring providers to identify and vet customers purchasing large compute clusters.
  • Positions compute hardware as a tractable intervention point for AI governance, since frontier model training requires concentrated, identifiable resources.
  • Aims to deter or detect potentially dangerous AI development by creating an audit trail linking compute purchases to specific actors.
  • Proposes tiered due diligence requirements based on scale of compute acquired, targeting only the highest-risk training runs.
  • Complements other governance proposals like compute thresholds, export controls, and licensing regimes for frontier AI development.

Cited by 2 pages

PageTypeQuality
Compute MonitoringApproach69.0
Compute ThresholdsConcept91.0

Cached Content Preview

HTTP 200Fetched Mar 15, 20265 KB
Oversight for Frontier AI through a Know-Your-Customer Scheme for Compute Providers | GovAI 

 

 

 About Research Opportunities Team Analysis Alumni Updates Donate About Research Opportunities Team Analysis Alumni Updates Donate Oversight for Frontier AI through a Know-Your-Customer Scheme for Compute Providers

 

 To address security and safety risks stemming from highly capable artificial intelligence (AI) models, we propose that the US government should ensure compute providers implement Know-Your-Customer (KYC) schemes. Compute – the computational power and infrastructure required to train and run these AI models – is emerging as a node for oversight. KYC, a standard developed by the banking sector to identify and verify client identity, could provide a mechanism for greater public oversight of frontier AI development and close loopholes in existing export controls. Such a scheme has the potential to identify and warn stakeholders of potentially problematic and/or sudden advancements in AI capabilities, build government capacity for AI regulation, and allow for the development and implementation of more nuanced and targeted export controls. Unlike the strategy of limiting access to AI chip purchases, regulating the digital access to compute offers more precise controls, allowing regulatory control over compute quantities, as well as the flexibility to suspend access at anytime. To enact a KYC scheme, the US government will need to work closely with industry to (1) establish a dynamic threshold of compute that effectively captures high-risk frontier model development, while minimizing imposition on developers not engaged in frontier AI; (2) set clear requirements and guidance for compute providers to keep records and report high-risk entities; (3) establish government capacity that allows for co-design, implementation, administration and enforcement of the scheme; and (4) engage internationally to promote international alignment with the scheme and support its long-term efficacy. While the scheme will not address all AI risks, it complements existing proposed solutions by allowing for a more precise and flexible approach to controlling the development of frontier AI models and unwanted AI proliferation. 

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 Law and Policy Date

 October 25, 2023

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 Janet Egan, Lennart Heim

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Resource ID: 166215ac6c1d1698 | Stable ID: YTg3NzI1Mm