Bipartisan negotiations in the Senate on an AI safety measure addressing catastrophic risks and lab accountability have advanced modestly but remain stalled over liability language and federal preemption of state rules, with no committee markup or floor vote scheduled before the November midterms. In the House, multiple AI bills cleared the Science Committee in June, including provisions on frontier model testing and labeling, yet none reached the floor before adjournment, and broader packages face committee and procedural hurdles. President Trump has publicly opposed new AI regulation, while persistent partisan divisions and industry concerns over enforcement mechanisms have limited momentum. With Congress unlikely to resolve these issues or enact comprehensive legislation in the remaining weeks of 2026, traders assign high probability to no AI safety bill becoming law 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?
11% peluang
$132,418 Vol.
$132,418 Vol.
Dec 31, 2026
11% peluang
$132,418 Vol.
$132,418 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 negotiations in the Senate on an AI safety measure addressing catastrophic risks and lab accountability have advanced modestly but remain stalled over liability language and federal preemption of state rules, with no committee markup or floor vote scheduled before the November midterms. In the House, multiple AI bills cleared the Science Committee in June, including provisions on frontier model testing and labeling, yet none reached the floor before adjournment, and broader packages face committee and procedural hurdles. President Trump has publicly opposed new AI regulation, while persistent partisan divisions and industry concerns over enforcement mechanisms have limited momentum. With Congress unlikely to resolve these issues or enact comprehensive legislation in the remaining weeks of 2026, traders assign high probability to no AI safety bill becoming law 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
$132,418Tanggal 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 negotiations in the Senate on an AI safety measure addressing catastrophic risks and lab accountability have advanced modestly but remain stalled over liability language and federal preemption of state rules, with no committee markup or floor vote scheduled before the November midterms. In the House, multiple AI bills cleared the Science Committee in June, including provisions on frontier model testing and labeling, yet none reached the floor before adjournment, and broader packages face committee and procedural hurdles. President Trump has publicly opposed new AI regulation, while persistent partisan divisions and industry concerns over enforcement mechanisms have limited momentum. With Congress unlikely to resolve these issues or enact comprehensive legislation in the remaining weeks of 2026, traders assign high probability to no AI safety bill becoming law 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
$132,418Tanggal Berakhir
Jan 1, 2027Pasar Dibuka
Nov 12, 2025, 5:08 PM ETResolver
0x65070BE91...Bipartisan negotiations in the Senate on an AI safety measure addressing catastrophic risks and lab accountability have advanced modestly but remain stalled over liability language and federal preemption of state rules, with no committee markup or floor vote scheduled before the November midterms. In the House, multiple AI bills cleared the Science Committee in June, including provisions on frontier model testing and labeling, yet none reached the floor before adjournment, and broader packages face committee and procedural hurdles. President Trump has publicly opposed new AI regulation, while persistent partisan divisions and industry concerns over enforcement mechanisms have limited momentum. With Congress unlikely to resolve these issues or enact comprehensive legislation in the remaining weeks of 2026, traders assign high probability to no AI safety bill becoming law 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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