**Trader consensus favoring “No” reflects sustained federal gridlock on comprehensive AI safety legislation.** Despite the Trump administration’s March 2026 National AI Legislative Framework calling for a minimally burdensome national standard to preempt state rules, Congress has advanced only targeted measures on chatbots, digital replicas, and nonconsensual imagery. Broader proposals, including omnibus drafts and frontier-model safety bills, remain stalled amid competing priorities and industry preference for lighter oversight. State-level action in California, New York, and Illinois has filled the vacuum with transparency and risk-assessment requirements, further reducing congressional urgency. With the 119th Congress having introduced numerous AI bills without enacting comprehensive safety legislation and just months remaining before 2027, traders price in low odds of passage by year-end.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว$101,407 ปริมาณ
$101,407 ปริมาณ
$101,407 ปริมาณ
$101,407 ปริมาณ
- Prohibition on Creation or Release: Forbids the creation or release of specific AI systems or models.
- Training Restrictions: Sets limits on how AI systems can be trained, such as restricting access to previously available training data or imposing a maximum limit on the number of parameters used for training.
- Usage Restrictions: Prevents AI systems from being used in certain applications, such as interacting with customers, interfacing with other applications, or performing actions on the web.
- Human-in-the-Loop Requirements: Requires AI systems to include mechanisms ensuring human oversight or involvement in their operation.
Otherwise this market will resolve to "No".
The resolution source will be official U.S. federal government (e.g., Congress.gov) however a consensus of credible reporting may also be used.
ตลาดเปิดเมื่อ: Nov 12, 2025, 5:08 PM ET
Resolver
0x65070BE91...- Prohibition on Creation or Release: Forbids the creation or release of specific AI systems or models.
- Training Restrictions: Sets limits on how AI systems can be trained, such as restricting access to previously available training data or imposing a maximum limit on the number of parameters used for training.
- Usage Restrictions: Prevents AI systems from being used in certain applications, such as interacting with customers, interfacing with other applications, or performing actions on the web.
- Human-in-the-Loop Requirements: Requires AI systems to include mechanisms ensuring human oversight or involvement in their operation.
Otherwise this market will resolve to "No".
The resolution source will be official U.S. federal government (e.g., Congress.gov) however a consensus of credible reporting may also be used.
Resolver
0x65070BE91...**Trader consensus favoring “No” reflects sustained federal gridlock on comprehensive AI safety legislation.** Despite the Trump administration’s March 2026 National AI Legislative Framework calling for a minimally burdensome national standard to preempt state rules, Congress has advanced only targeted measures on chatbots, digital replicas, and nonconsensual imagery. Broader proposals, including omnibus drafts and frontier-model safety bills, remain stalled amid competing priorities and industry preference for lighter oversight. State-level action in California, New York, and Illinois has filled the vacuum with transparency and risk-assessment requirements, further reducing congressional urgency. With the 119th Congress having introduced numerous AI bills without enacting comprehensive safety legislation and just months remaining before 2027, traders price in low odds of passage by year-end.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว



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