Scaling and Sustaining Standards: A Case Study on the Basel Accords

By Conrad K. @ 2023-07-16T18:18 (+16)

This is a linkpost to https://docs.google.com/document/d/1-Z8aTh-G1rrYtBfV1PDRk2RqMl30wy88RiaqBPwY8gY/edit?usp=sharing

In response to Holden Karnofsky's call for case studies on standards, I've spent the last six weeks or so researching the Basel Accords - the premier set of standards for international banks that have become deeply embedded into banking regulation across the globe. My work culminated in this case study, written primarily to inform potential artificial intelligence and biosecurity standards. I've laid out the key takeaways below.


Key Takeaways

1. What are the Basel Accords?

 

2. How are the Basel Accords implemented today?

 

3. Why and how did the Basel Accords emerge?

 

4. What can we learn from the Basel Accords?

My takeaways (and expert opinion) on lessons from the Basel Accords for implementing a Basel-like international standard include:

  1. Consensus is key: continuous consensus-forming, relationship-building, and widespread consultation is the cornerstone of how the Basel Accords became an international norm of financial regulation, even given the contestability of financial regulation.
  2. Consensus takes time: achieving the level of consensus of the Basel Accords takes many years.
  3. Consensus is a continuous processthe Basel Committee maintain regular lines of communication to stay highly sensitive to shifting incentives, thinking, and priorities.
  4. A clearly-defined problem space was important: consensus was possible because there was agreement about the importance of avoiding a banking crisis (and clarity on what one looked like).
  5. Earlier market failures were pivotal for creating this consensus and spurring action.
  6. Alignment with commercial incentives was important but can be (and was) shaped.
  7. Market pressure to comply was not merely implicit but was widely perceived.
  8. A flexible organisational structure and dynamic processes are important.
  9. Institutional backing mattered: the Basel Accords were built on the BIS, IMF, and EEC. 
  10. A dedicated operational unit (the Secretariat) was vital for structuring a messy process.
  11. Clear and concerted leadership is importantinitial adoption was driven by a few individuals who owned the process.
  12. Power matters: US interest in capital adequacy standards was important for creating pressure that ultimately led to the emergence and adoption of Basel I.
  13. Incessant and indirect communication is key: the BCBS also runs events, consultations, and support outside of its standard-setting to ensure continued relationship-forming.
  14. Maximising transparency was valuable for trust.
  15. The structure of the Basel Committee means little work is done after the publication of a standard to ensure compliance, given members already commit and are involved in the consultative process.
  16. Factoring scaling and compliance considerations into the design of the standard itself is important, and necessarily occurs given the extensive consultation that goes into standard design. 
  17. Complexity brings complex trade-offsit’s not straightforward that complexity and compliance are inversely proportional. Basel I was too simple to mitigate financial risk effectively, and Basel III commands compliance given the ability of states to pick which aspects are most relevant to it.
  18. Standards don’t have to be perfect when developed in an iterative and high-feedback way.
  19. Targeting the most important players made a differencethe G10 was a small group that represented most of the world’s banking capital. 
  20. Involving everyone is a core part of The Basel Process: anyone who might be affected or has a stake in the Basel Accords was consulted or had avenues to communicate with the Committee.
  21. Relationship-forming was essential: leveraging a wide set of stakeholders required a wide network and continuous relationship forming with central banks and organisations worldwide.
  22. Iterative development was important: Basel I started simple and gradually built up until today.
  23. Key causes of resistance are worries about economic impact and restricting sovereignty. 
  24. Basel Committee communications routinely affirm the importance of financial risk mitigation.
  25. Providing widespread support: for implementation helped ensure widespread adoption of a complex standard, albeit much more resource-intensive.
  26. Some specific levers for organisational competence include being very well-prepped, well-connected, and well-read.
  27. Domestic consensus is key for national adoption and influencing the international agenda.

 

Some speculative and lower-confidence takes relevant to AI and biosecurity standards include:

  1. I’m not excited about prioritising near-term efforts to develop Basel-like international standards without much more background work done to establish consensus about AI and biosecurity issues. 
  2. I wouldn’t be excited about AI/bio standards that aren’t aligned with commercial incentives, but I think there are opportunities to shape these incentives as the Basel Accords did.
  3. Given how contestable AI and biosecurity regulation will likely be, a consensus-driven approach could be important.
  4. A consensus-driven approach may have limited scope for AI and bio, however, because there are additional risks from malicious agents not found in financial risk mitigation.
  5. Standards can take quite a lot of complexity, although the best-case scenario may look like partial compliance. This could affect how we think about AI/bio standards.
  6. In general, I would expect an effort to create Basel-like standards to be less successful in expectation unless there are numerous (non-existential) early warnings, given how important this was for Basel.
  7. Part of the theory of change for AI and bio x-risk research should be academic consensus-forming.
  8. Potential standard-setters and key stakeholders could probably be doing a lot more relationship-forming now if the ambition is a Basel-like international standard.
  9. We shouldn’t rely on standards to delay AI timelines, given how long consensus-forming takes.
  10. I think there’s an exciting opportunity right now to develop better cooperation between the AI labs.
  11. I think voluntary standards right now could be very useful for AI, primarily for just establishing the personnel, agenda, and infrastructure for future standards.
  12. For biosecurity, I think IBBIS is in a similar position to the pre-1988 BCBS, and could potentially learn from the details of the history of the Basel Accords.

The full report remains fairly scrappy, and I'd encourage further feedback and thoughts - particularly corrections of any factual errors. I'll likely factor these into some minor updates in the future, and I'm also keen to continue adding lessons. However, I didn't want perfection to be the enemy of the good and felt this was ready enough for public reading. More generally, feel free to reach out for further questions and/or comments.

See the appendices for some conceptual background to standards themselves; reasons I was excited about the Basel Accords as a case study for AI and biosecurity; an overview of some of the successes and criticisms of the Basel Accords; an overview of why the Basel Accords have achieved widespread adoption amongst non-members; an overview of what I consider the key strategic questions for a standard-setter to consider, and some further explanation of my tentative takeaways for AI and bio.

Acknowledgements: thank you to Open Philanthropy for sponsoring this project; Holden Karnofsky for providing some early feedback and direction; all the individuals I interviewed for this project for their invaluable input, and Rachel Edwards and Kit Harris for their assistance with connections and thoughts!