Bipartisan proposals for federal AI safety legislation, including incident reporting requirements and frontier model oversight frameworks advanced in House committees during summer 2026, have stalled amid disputes over state law preemption, regulatory scope, and enforcement mechanisms. With the legislative calendar tightening ahead of midterms and the administration emphasizing voluntary executive actions alongside NIST standards rather than mandatory statutes, comprehensive measures face significant procedural and political hurdles. Recent introductions such as the AI Incident Reporting Act and Stop Rogue AI Act remain in early stages without floor consideration. Traders price a high probability against enactment before 2027 because narrow technical bills have not progressed to passage while broader safety frameworks encounter resistance from both innovation-focused and state-authority advocates. Late-session deals or shifts in committee leadership could still alter timelines before year-end.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · Zaktualizowano10% szansa
$102,026 Wol.
$102,026 Wol.
Dec 31, 2026
10% szansa
$102,026 Wol.
$102,026 Wol.
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 proposals for federal AI safety legislation, including incident reporting requirements and frontier model oversight frameworks advanced in House committees during summer 2026, have stalled amid disputes over state law preemption, regulatory scope, and enforcement mechanisms. With the legislative calendar tightening ahead of midterms and the administration emphasizing voluntary executive actions alongside NIST standards rather than mandatory statutes, comprehensive measures face significant procedural and political hurdles. Recent introductions such as the AI Incident Reporting Act and Stop Rogue AI Act remain in early stages without floor consideration. Traders price a high probability against enactment before 2027 because narrow technical bills have not progressed to passage while broader safety frameworks encounter resistance from both innovation-focused and state-authority advocates. Late-session deals or shifts in committee leadership could still alter timelines before year-end.
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.
Rynek otwarty: Nov 12, 2025, 5:08 PM ET
Wolumen
$102,026Data zakończenia
Jan 1, 2027Rynek otwarty
Nov 12, 2025, 5:08 PM ETRozstrzygający
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 proposals for federal AI safety legislation, including incident reporting requirements and frontier model oversight frameworks advanced in House committees during summer 2026, have stalled amid disputes over state law preemption, regulatory scope, and enforcement mechanisms. With the legislative calendar tightening ahead of midterms and the administration emphasizing voluntary executive actions alongside NIST standards rather than mandatory statutes, comprehensive measures face significant procedural and political hurdles. Recent introductions such as the AI Incident Reporting Act and Stop Rogue AI Act remain in early stages without floor consideration. Traders price a high probability against enactment before 2027 because narrow technical bills have not progressed to passage while broader safety frameworks encounter resistance from both innovation-focused and state-authority advocates. Late-session deals or shifts in committee leadership could still alter timelines before year-end.
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.
Wolumen
$102,026Data zakończenia
Jan 1, 2027Rynek otwarty
Nov 12, 2025, 5:08 PM ETRozstrzygający
0x65070BE91...Bipartisan proposals for federal AI safety legislation, including incident reporting requirements and frontier model oversight frameworks advanced in House committees during summer 2026, have stalled amid disputes over state law preemption, regulatory scope, and enforcement mechanisms. With the legislative calendar tightening ahead of midterms and the administration emphasizing voluntary executive actions alongside NIST standards rather than mandatory statutes, comprehensive measures face significant procedural and political hurdles. Recent introductions such as the AI Incident Reporting Act and Stop Rogue AI Act remain in early stages without floor consideration. Traders price a high probability against enactment before 2027 because narrow technical bills have not progressed to passage while broader safety frameworks encounter resistance from both innovation-focused and state-authority advocates. Late-session deals or shifts in committee leadership could still alter timelines before year-end.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · Zaktualizowano
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