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Thống đốc Oregon ra lệnh cho các cơ quan tiểu bang xây dựng các quy định an toàn về AI

Thống đốc Tina Kotek đã chỉ đạo các quan chức bang Oregon tạo ra trình độ chuyên môn cho những người đánh giá an toàn AI của bên thứ ba, xác định các mô hình 'biên giới' và đánh giá khả năng tồn tại của một công tắc tiêu diệt trong vòng 90 ngày.

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Source-provided image accompanying Oregon governor orders state agencies to develop AI safety regulations
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spokesman.comhttps://www.spokesman.com/stories/2026/sep/27/more-ai-regulation-ordered-by-oregon-governor/
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Oregon Governor Tina Kotek issued an executive order directing state agencies to develop regulatory frameworks for artificial intelligence use. The order mandates the creation of qualifications for third-party reviewers to assess , the definition of 'frontier' AI models, and an evaluation of the feasibility of implementing a kill switch for such systems.

On Wednesday, Oregon Governor Tina Kotek issued an executive order directing state government officials to develop methods for regulating the use of artificial intelligence. The order was issued in response to increasing warnings about the safety risks associated with the technology and the lack of federal regulatory action.

The executive order requires state officials to develop qualifications for a third-party reviewer who would assess the safety of certain AI technologies before the state can deploy them. It is currently unclear which specific technologies would be subject to this extensive review process.

The order also directs the state’s chief information officer to define 'frontier' AI models, which are described as the most advanced software, to determine which systems would be subject to these new regulations. Furthermore, the state is required to assess whether a 'kill switch' for frontier AI models is a viable option, a mechanism that would allow for the rapid shutdown of unsafe AI systems.

According to material from the governor’s office, Oregon state agencies have already been using AI in their day-to-day operations, ranging from widely available chatbots to more advanced systems for technical workers. Kotek stated in a news release that the order was developed due to inaction from the federal government, specifically citing President Donald Trump’s resistance to calls for increased AI regulation.

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This executive order represents a concrete state-level regulatory response to the perceived lack of federal oversight on advanced AI technologies. By mandating specific technical assessments, such as defining frontier models and evaluating shutdown mechanisms, Oregon is establishing a precedent for state-led that could influence other jurisdictions. The move highlights the growing divergence between state and federal approaches to , with states acting unilaterally to address risks that federal authorities have not yet regulated.

The executive order marks a significant step in state-level , moving beyond general guidance to specific technical requirements such as third-party safety reviews and the definition of frontier models. This approach provides a structured framework for managing AI risks within the state government.

The mandate to assess the viability of a kill switch for frontier AI models is particularly notable, as it addresses a critical safety concern raised by technology experts. While experts have noted that developing such a mechanism presents immense challenges, the order forces a formal evaluation of this option.

This action by Oregon follows similar moves by other states, such as California, where Governor Gavin Newsom recently issued an executive order with comparable requirements. This trend indicates a broader pattern of state governments taking the lead on AI regulation in the absence of comprehensive federal rules.

The political context is also significant, as Kotek, a Democrat running for re-election, has campaigned on resisting various Trump policies. Her decision to act on AI regulation underscores the growing political salience of and the potential for state-level action to fill regulatory gaps left by the federal government.

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Khám phá công nghệ cơ bản đằng sau sự phát triển này một cách tương tác.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
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Monitor the 90-day deadline for the Oregon Chief Information Officer to submit proposed regulations. Watch for the specific definition of 'frontier' AI models adopted by the state, as this will determine the scope of the regulations. Additionally, observe whether other states adopt similar executive orders or if federal legislation emerges to preempt or align with these state-level efforts.

The 90-day deadline for the Oregon Chief Information Officer to develop and submit proposed regulations to Governor Kotek is a key near-term milestone. The content of these proposals will reveal the practical scope of the state's AI regulatory framework.

The specific definition of 'frontier' AI models adopted by Oregon will be crucial in determining which technologies are subject to the new regulations. This definition may influence how other states and federal agencies define and regulate advanced AI systems.

The outcome of the assessment regarding the viability of a kill switch for frontier AI models will provide valuable insights into the technical and operational challenges of implementing such safety mechanisms. This could inform broader discussions on and governance.

The reaction from other state governments and federal policymakers to Oregon's executive order will be important to monitor. If other states adopt similar measures, it could create a patchwork of state-level AI regulations that may eventually pressure the federal government to act.

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