SCOTUS killed the independent agency. AI governance doesn’t need one
Summary
The Supreme Court's recent "Slaughter" ruling, issued on Monday, allows the president to remove heads of independent federal agencies at will, overturning the 1935 "Humphrey's Executor" decision. This development, while seemingly detrimental to AI oversight, is presented as an opportunity to restructure AI governance. The article proposes separating the technical task of measuring AI capabilities and risks from the political task of making policy decisions. The Center for AI Standards and Innovation (CAISI) within the Commerce Department is identified as the core for technical work, focusing on evaluations, benchmarks, and measurement standards. This technical spine should be complemented by Independent Verification Organizations (IVOs), which are accredited private testers that would operate competitively to assess AI safety, reporting to CAISI. This structure aims to create a durable, shared technical baseline for AI systems, preventing any single political actor from controlling factual information, while leaving coercive political choices to accountable government institutions. Connecticut and Virginia have already passed related bills, and companies like Anthropic, OpenAI, and Google DeepMind support independent verification.
Key takeaway
For Policy Makers designing AI governance frameworks, the "Slaughter" ruling underscores the futility of insulating political decisions. You should prioritize establishing a clear separation between technical AI measurement and political policy choices. Focus on building a public, credible technical baseline through entities like CAISI and competitive Independent Verification Organizations. This ensures no single political actor controls factual information or creates chokepoints, fostering durable, accountable governance.
Key insights
The "Slaughter" ruling necessitates separating AI's technical measurement from political decision-making to ensure robust governance.
Principles
- Political insulation of AI governance is futile.
- Separate technical measurement from political choices.
- Credibility, not legal shields, ensures governance durability.
Method
Establish CAISI for scientific AI evaluation, benchmarks, and standards. Develop a competitive ecosystem of accredited Independent Verification Organizations (IVOs) to measure and assess AI safety, reporting to CAISI.
In practice
- Empower states to act on shared findings.
- Avoid single-office chokepoints in governance.
- Implement independent AI verification organizations.
Topics
- AI Governance
- "Slaughter" Ruling
- Independent Agencies
- CAISI
- Independent Verification Organizations
- AI Regulatory Policy
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Editorial summary, takeaway, and curation by AIssential. Original article published by Transformer.