Bipartisan Senate negotiations on an AI safety measure imposing a legal duty of care on frontier model developers have advanced in recent weeks following warnings from former Anthropic staff about catastrophic risks, yet key disagreements persist over liability standards, preemption of state laws, and enforcement mechanisms. As of mid-September 2026, the leading draft led by Senators Klobuchar, Thune, and Cruz remains unfinalized in committee, with limited session days left before the November midterms and December adjournment. Multiple House proposals on testing, incident reporting, and shutdown authority have cleared initial committees but face uncertain floor prospects in a divided Congress. State-level frontier AI rules in California, New York, and Illinois continue to fill the gap while federal consensus lags. These procedural and calendar constraints underpin trader expectations that no qualifying federal bill will reach enactment before 2027.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiU.S. enacts AI safety bill before 2027?
U.S. enacts AI safety bill before 2027?
19% peluang
$103,265 Vol.
$103,265 Vol.
Dec 31, 2026
19% peluang
$103,265 Vol.
$103,265 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. Bipartisan Senate negotiations on an AI safety measure imposing a legal duty of care on frontier model developers have advanced in recent weeks following warnings from former Anthropic staff about catastrophic risks, yet key disagreements persist over liability standards, preemption of state laws, and enforcement mechanisms. As of mid-September 2026, the leading draft led by Senators Klobuchar, Thune, and Cruz remains unfinalized in committee, with limited session days left before the November midterms and December adjournment. Multiple House proposals on testing, incident reporting, and shutdown authority have cleared initial committees but face uncertain floor prospects in a divided Congress. State-level frontier AI rules in California, New York, and Illinois continue to fill the gap while federal consensus lags. These procedural and calendar constraints underpin trader expectations that no qualifying federal bill will reach enactment before 2027.
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.
Pasar Dibuka: Nov 12, 2025, 5:08 PM ET
Volume
$103,265Tanggal Berakhir
Jan 1, 2027Pasar Dibuka
Nov 12, 2025, 5:08 PM ETResolver
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. Bipartisan Senate negotiations on an AI safety measure imposing a legal duty of care on frontier model developers have advanced in recent weeks following warnings from former Anthropic staff about catastrophic risks, yet key disagreements persist over liability standards, preemption of state laws, and enforcement mechanisms. As of mid-September 2026, the leading draft led by Senators Klobuchar, Thune, and Cruz remains unfinalized in committee, with limited session days left before the November midterms and December adjournment. Multiple House proposals on testing, incident reporting, and shutdown authority have cleared initial committees but face uncertain floor prospects in a divided Congress. State-level frontier AI rules in California, New York, and Illinois continue to fill the gap while federal consensus lags. These procedural and calendar constraints underpin trader expectations that no qualifying federal bill will reach enactment before 2027.
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.
Volume
$103,265Tanggal Berakhir
Jan 1, 2027Pasar Dibuka
Nov 12, 2025, 5:08 PM ETResolver
0x65070BE91...Bipartisan Senate negotiations on an AI safety measure imposing a legal duty of care on frontier model developers have advanced in recent weeks following warnings from former Anthropic staff about catastrophic risks, yet key disagreements persist over liability standards, preemption of state laws, and enforcement mechanisms. As of mid-September 2026, the leading draft led by Senators Klobuchar, Thune, and Cruz remains unfinalized in committee, with limited session days left before the November midterms and December adjournment. Multiple House proposals on testing, incident reporting, and shutdown authority have cleared initial committees but face uncertain floor prospects in a divided Congress. State-level frontier AI rules in California, New York, and Illinois continue to fill the gap while federal consensus lags. These procedural and calendar constraints underpin trader expectations that no qualifying federal bill will reach enactment before 2027.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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