**Senate negotiations on comprehensive AI safety legislation, including a bipartisan effort led by Sens. Klobuchar, Thune, and Cruz to impose a legal duty of care on frontier model developers, remain stalled over liability standards, enforcement mechanisms, and preemption of state laws as of mid-September 2026.** Recent warnings from former Anthropic researchers have accelerated discussions and prompted calls for action, yet parties remain divided on core provisions such as government authority to block unsafe releases and mandatory reporting for catastrophic risks. The House has advanced narrower bipartisan measures through committee, including incident reporting requirements and NIST-centered standards, but none have advanced to enactment. With midterms looming and no clear path to floor votes or reconciliation, the legislative calendar offers limited time for a major bill to clear both chambers and the White House before 2027. Trader pricing at 86.5% for “No” reflects this procedural gridlock and historical pace of tech regulation.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেডU.S. enacts AI safety bill before 2027?
U.S. enacts AI safety bill before 2027?
14% সম্ভাবনা
$102,825 Vol.
$102,825 Vol.
Dec 31, 2026
14% সম্ভাবনা
$102,825 Vol.
$102,825 Vol.
Dec 31, 2026
This market will resolve to "Yes" if a bill that includes at least one of the following provisions is signed into federal law in the United States by December 31, 2026, 11:59 PM ET.
- 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. **Senate negotiations on comprehensive AI safety legislation, including a bipartisan effort led by Sens. Klobuchar, Thune, and Cruz to impose a legal duty of care on frontier model developers, remain stalled over liability standards, enforcement mechanisms, and preemption of state laws as of mid-September 2026.** Recent warnings from former Anthropic researchers have accelerated discussions and prompted calls for action, yet parties remain divided on core provisions such as government authority to block unsafe releases and mandatory reporting for catastrophic risks. The House has advanced narrower bipartisan measures through committee, including incident reporting requirements and NIST-centered standards, but none have advanced to enactment. With midterms looming and no clear path to floor votes or reconciliation, the legislative calendar offers limited time for a major bill to clear both chambers and the White House before 2027. Trader pricing at 86.5% for “No” reflects this procedural gridlock and historical pace of tech regulation.
This market will resolve to "Yes" if a bill that includes at least one of the following provisions is signed into federal law in the United States by December 31, 2026, 11:59 PM ET.
- 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.
- 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.
মার্কেট ওপেন হয়েছে: Nov 12, 2025, 5:08 PM ET
ভলিউম
$102,825শেষ তারিখ
Jan 1, 2027মার্কেট ওপেন হয়েছে
Nov 12, 2025, 5:08 PM ETরেজলভার
0x65070BE91...This market will resolve to "Yes" if a bill that includes at least one of the following provisions is signed into federal law in the United States by December 31, 2026, 11:59 PM ET.
- 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. **Senate negotiations on comprehensive AI safety legislation, including a bipartisan effort led by Sens. Klobuchar, Thune, and Cruz to impose a legal duty of care on frontier model developers, remain stalled over liability standards, enforcement mechanisms, and preemption of state laws as of mid-September 2026.** Recent warnings from former Anthropic researchers have accelerated discussions and prompted calls for action, yet parties remain divided on core provisions such as government authority to block unsafe releases and mandatory reporting for catastrophic risks. The House has advanced narrower bipartisan measures through committee, including incident reporting requirements and NIST-centered standards, but none have advanced to enactment. With midterms looming and no clear path to floor votes or reconciliation, the legislative calendar offers limited time for a major bill to clear both chambers and the White House before 2027. Trader pricing at 86.5% for “No” reflects this procedural gridlock and historical pace of tech regulation.
This market will resolve to "Yes" if a bill that includes at least one of the following provisions is signed into federal law in the United States by December 31, 2026, 11:59 PM ET.
- 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.
- 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.
ভলিউম
$102,825শেষ তারিখ
Jan 1, 2027মার্কেট ওপেন হয়েছে
Nov 12, 2025, 5:08 PM ETরেজলভার
0x65070BE91...**Senate negotiations on comprehensive AI safety legislation, including a bipartisan effort led by Sens. Klobuchar, Thune, and Cruz to impose a legal duty of care on frontier model developers, remain stalled over liability standards, enforcement mechanisms, and preemption of state laws as of mid-September 2026.** Recent warnings from former Anthropic researchers have accelerated discussions and prompted calls for action, yet parties remain divided on core provisions such as government authority to block unsafe releases and mandatory reporting for catastrophic risks. The House has advanced narrower bipartisan measures through committee, including incident reporting requirements and NIST-centered standards, but none have advanced to enactment. With midterms looming and no clear path to floor votes or reconciliation, the legislative calendar offers limited time for a major bill to clear both chambers and the White House before 2027. Trader pricing at 86.5% for “No” reflects this procedural gridlock and historical pace of tech regulation.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেড
বাহ্যিক লিংক থেকে সাবধান।
বাহ্যিক লিংক থেকে সাবধান।
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