Google, OpenAI, and Anthropic Plan Independent Standards Authority for Frontier AI
The three leading artificial intelligence laboratories are collaborating to launch a self-regulatory safety body by early 2027, operating independently of government oversight. The proposed organization aims to define practical testing benchmarks for frontier models prior to commercial deployment.
How this story has developed
This report is part of a developing story — read the earlier chapters below.
- White House Reviews Proposal for FINRA-Style Self-Regulatory Body for Frontier AI
- Google, OpenAI, and Anthropic Plan Independent Standards Authority for Frontier AI (this article)
- Industry Self-Regulators
- Argue that private companies have the technical expertise and resources to evaluate frontier models faster than government agencies.
- Federal Oversight Advocates
- Maintain that voluntary standards lack enforcement power and that government agencies must mandate compliance.
- International Governance Proponents
- Believe that AI requires a unified global institution rather than fragmented national or corporate standards.
Perspectives this story doesn't cover
- Open-source AI developers
- Consumer protection advocates
Wall Street is policed by the Financial Industry Regulatory Authority, an independent body that enforces rules and standards outside of direct government control. The artificial intelligence sector is now building an exact replica of that model, with one critical distinction: the technology companies themselves are creating the regulator before the federal government forces them to do so. Google, OpenAI, and Anthropic are advancing plans to establish the Standards Authority for Frontier AI (SAFA), an independent organization designed to set and enforce safety benchmarks for the industry's most advanced computational models.[1][2][5]
The proposed authority, which is currently targeted for a formal launch in late 2026 or early 2027, would operate entirely outside of federal administration. Its primary mandate is to establish concrete testing frameworks that developers can use to evaluate cutting-edge systems prior to commercial deployment. The working group is currently debating whether SAFA should conduct direct model assessments in-house using its own technical infrastructure, or if it should strictly define the qualifications and protocols for independent third-party auditors to perform the evaluations.[1][3]
The push for self-regulation arrives as the three frontier laboratories remain locked in an intense race for commercial dominance, while simultaneously facing mounting public and legislative scrutiny over the potential catastrophic risks of their systems. The initiative gained significant momentum following a July 2026 proposal by Google DeepMind chief executive Demis Hassabis, who publicly argued for a United States-backed standards body modeled after a public-private partnership. That initial concept has since evolved into a purely private endeavor driven by the leading developers.[1][5]
To lead the new organization, the three companies have approached Sriram Krishnan, a former White House artificial intelligence policy advisor who served in the presidential administration from January 2025 until June 2026. Krishnan notably left his federal post after publicly rejecting a government licensing regime for the technology, stating emphatically at the time that 'there will not be an FDA for AI.' The laboratories are now actively courting the very official who argued against a federal regulator to run their private alternative.[4][5]
Alongside Krishnan, the working group has floated Arati Prabhakar, the former director of the White House Office of Science and Technology Policy, as a potential chief executive candidate with deep federal experience. Discussions for the organization's chair position have included former Secretary of State Condoleezza Rice and prominent technology investor David Friedberg. The leadership slate remains under active negotiation among the three founding companies, and no formal appointments have been finalized as the structural details are still being drafted.[1][5]
Discussions for the organization's chair position have included former Secretary of State Condoleezza Rice and prominent technology investor David Friedberg.
The decision to bypass the federal government stems partly from deep-seated industry concerns regarding existing public infrastructure and its capacity to keep pace with rapid technological breakthroughs. While the United States Center for AI Standards and Innovation currently handles federal evaluation mandates, insiders involved in the SAFA planning have noted persistent concerns that the government agency lacks the specialized technical talent and financial resources required to thoroughly inspect complex frontier systems before they are released to the public.[1][2]
The parallel tracks of private and public oversight highlight a growing divergence in how artificial intelligence should be governed on a global scale. While OpenAI recently published a September 9 commitment to working with other frontier labs on voluntary standards, the company also advocates for mandatory United States safety requirements. Addressing the United Nations Security Council on September 23, OpenAI chief executive Sam Altman called for compatible international standards, noting that 'if AI is to be democratic, the most important decisions cannot be made by labs in San Francisco alone.' Simultaneously, 22 international leaders endorsed a September 22 statement calling for a global institution that could verify compliance.[3]
The immediate question facing the Standards Authority for Frontier AI is not just which technical evaluations it will mandate, but what actual authority it will wield when a model fails those tests. While a shared safety standard provides a common assessment method for the industry, the working group has not yet specified whether participants must comply with the body's findings. It remains entirely unclear what enforcement mechanisms will exist if a developer chooses to release a non-compliant model, leaving the ultimate power of the self-regulator untested.[2][3][5]
Key points
- Google, OpenAI, and Anthropic are collaborating to launch the Standards Authority for Frontier AI (SAFA) by early 2027.
- The proposed self-regulatory body would operate independently of government administration to define practical safety benchmarks.
- The companies have approached former White House AI policy advisor Sriram Krishnan to serve as chief executive.
- The initiative emerges amid concerns that existing federal agencies lack the technical resources to thoroughly inspect complex frontier systems.
Viewpoints in depth
The Self-Regulation Camp
Frontier labs argue they are best equipped to evaluate their own technology.
Proponents of the Standards Authority for Frontier AI argue that the pace of artificial intelligence development has fundamentally outstripped the government's ability to regulate it. By establishing an independent body funded and supported by the developers themselves, the industry can deploy technical resources that federal agencies like the Center for AI Standards and Innovation currently lack. This camp maintains that voluntary but rigorous standards, overseen by technical experts rather than political appointees, offer the most realistic path to securing frontier models before deployment.
Federal and Global Regulators
Public officials warn that voluntary standards lack the enforcement mechanisms necessary for public safety.
Critics of the self-regulatory approach emphasize that a shared testing method is meaningless without the power to halt a dangerous release. While SAFA may define rigorous benchmarks, it remains unclear what penalties would exist if a company simply ignores a failing grade. Concurrently, international leaders are pushing for a broader approach, arguing that decisions regarding systems with global impact cannot be left to a handful of laboratories in California. This coalition is pressing the United Nations to establish an institution capable of verifying compliance and convening governments when AI capabilities cross critical thresholds.
Why this matters
As artificial intelligence models become increasingly capable, the rules governing their safe deployment are being written by the developers themselves rather than federal regulators. The success or failure of this self-regulatory body will determine how the next generation of frontier models is tested for catastrophic risks before reaching the public.
How we got here
January 2025
Sriram Krishnan joins the presidential administration as a White House AI policy advisor.
June 2026
Krishnan leaves his federal post after publicly rejecting a government licensing regime for artificial intelligence.
July 2026
Google DeepMind chief Demis Hassabis proposes a United States-backed standards body modeled after a public-private partnership.
September 2026
Reports emerge that Google, OpenAI, and Anthropic are advancing plans for the independent Standards Authority for Frontier AI.
Sources
[1]The Times of IndiaGoogle, OpenAI and Anthropic may launch AI safety standard by early 2027
Read on The Times of India →
[2]CIOIndustry Self-RegulatorsThe companies racing to build frontier AI are now racing to govern it
Read on CIO →
[3]PYMNTS.comInternational Governance ProponentsOpenAI, Google and Anthropic Join Forces to Set AI Safety Standards
Read on PYMNTS.com →
[4]AI WeeklyIndustry Self-RegulatorsGoogle, OpenAI, Anthropic Court Sriram Krishnan for AI Safety Body
Read on AI Weekly →
[5]Sovereign MagazineFederal Oversight AdvocatesAI labs name a self-regulator: the Standards Authority for Frontier AI
Read on Sovereign Magazine →
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