The AI policy window is open. We need to act.

2026-09-09 · OpenAI

The AI Policy Window Is Open: We Need to Act Now

Background: Continuously Growing AI Capabilities

Chris Lehane points out that artificial intelligence capabilities are continuously growing. As technology advances rapidly, AI systems are demonstrating increasingly powerful capabilities across various application scenarios. While this trend brings opportunities for technological progress, it also makes AI governance and safety issues increasingly urgent. It is against this backdrop that Lehane believes we are currently in a critical policy window that provides an opportunity for stakeholders to take action, but this window will not remain open indefinitely.

The Urgency of the Policy Window

Lehane emphasizes that the current policy window remains open, and all parties need to take sustained and effective policy action before this window closes. The notion of "sustained and effective" implies that policy actions should not be temporary or reactive in nature, but rather long-term and systematic, capable of genuinely addressing the challenges posed by the continued development of AI technology. Seizing the current moment is crucial, as once the window closes, establishing effective policy frameworks will become significantly more difficult.

The Supporting Role of Safety Evidence and Industry Standards

Lehane specifically proposes that more powerful AI capabilities must be supported by more robust safety evidence and shared industry standards. This perspective encompasses two dimensions:

  • Safety evidence: As AI capabilities increase, there must be a corresponding accumulation of more comprehensive safety verification evidence to ensure that technological development does not introduce uncontrollable risks. Safety evidence serves as the foundation for policymaking and technology application; without sufficient safety evidence, it is difficult to accurately assess and effectively manage the risks associated with AI technologies.
  • Industry standards: All parties need to collaboratively establish and adhere to shared industry standards. The role of industry standards is to provide unified safety norms and evaluation benchmarks for the entire industry, enabling different entities to follow established guidelines in AI technology development and application, thereby forming a coordinated governance structure.

Establishing Safety Norms and Policy Frameworks

Lehane calls on all parties to seize the current moment and work together to establish comprehensive safety norms and policy frameworks. Specifically, this includes:

  • Establishing comprehensive safety norms that provide clear safety guidelines for the development and application of AI technologies
  • Constructing effective policy frameworks that ensure the healthy development of AI technologies from an institutional perspective
  • Ensuring that AI technologies can develop healthily within a regulated framework
  • Effectively managing potential risks that AI technologies may bring

Preventing Technological Progress from Outpacing Regulatory Capacity

Lehane particularly notes that it is necessary to prevent the pace of technological progress from outpacing regulatory capacity. The core of this warning lies in the fact that if the development speed of AI technology far exceeds the speed at which regulatory systems are established and refined, it may lead to potential risks that cannot be identified and addressed in a timely manner. Therefore, the timeliness of policy action is crucial, and all parties must establish safety norms and regulatory frameworks that match the level of technological development before the technology advances further.

Lehane's overall perspective can be summarized as follows: in the context of continuously growing AI capabilities, the current policy window provides an opportunity for stakeholders to act. All parties should seize this moment, supported by safety evidence and industry standards, to establish comprehensive safety norms and policy frameworks, ensuring the healthy development of AI technologies while effectively managing risks and preventing technological progress from outpacing regulatory capacity.

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