Federal efforts to enact comprehensive AI safety legislation have stalled in the 119th Congress, with numerous targeted bills introduced on topics like frontier model testing, incident reporting, and child safety protections but none advancing to passage amid a broader emphasis on innovation and deregulation. The Trump administration's December 2025 executive order directs challenges to state AI rules deemed burdensome, calls for a uniform federal framework with preemption where possible, and prioritizes minimal regulatory hurdles for developers. State-level measures in California, New York, Colorado, and Illinois have instead taken effect or neared enforcement in 2026, filling the gap while federal consensus remains elusive due to competing priorities on infrastructure, competition, and national security. This legislative inertia and policy direction underpin traders' strong consensus against enactment before 2027.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui13% peluang
$101,400 Vol.
$101,400 Vol.
Dec 31, 2026
13% peluang
$101,400 Vol.
$101,400 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. Federal efforts to enact comprehensive AI safety legislation have stalled in the 119th Congress, with numerous targeted bills introduced on topics like frontier model testing, incident reporting, and child safety protections but none advancing to passage amid a broader emphasis on innovation and deregulation. The Trump administration's December 2025 executive order directs challenges to state AI rules deemed burdensome, calls for a uniform federal framework with preemption where possible, and prioritizes minimal regulatory hurdles for developers. State-level measures in California, New York, Colorado, and Illinois have instead taken effect or neared enforcement in 2026, filling the gap while federal consensus remains elusive due to competing priorities on infrastructure, competition, and national security. This legislative inertia and policy direction underpin traders' strong consensus against 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
$101,400Tanggal Berakhir
Dec 31, 2026Pasar 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. Federal efforts to enact comprehensive AI safety legislation have stalled in the 119th Congress, with numerous targeted bills introduced on topics like frontier model testing, incident reporting, and child safety protections but none advancing to passage amid a broader emphasis on innovation and deregulation. The Trump administration's December 2025 executive order directs challenges to state AI rules deemed burdensome, calls for a uniform federal framework with preemption where possible, and prioritizes minimal regulatory hurdles for developers. State-level measures in California, New York, Colorado, and Illinois have instead taken effect or neared enforcement in 2026, filling the gap while federal consensus remains elusive due to competing priorities on infrastructure, competition, and national security. This legislative inertia and policy direction underpin traders' strong consensus against 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
$101,400Tanggal Berakhir
Dec 31, 2026Pasar Dibuka
Nov 12, 2025, 5:08 PM ETResolver
0x65070BE91...Federal efforts to enact comprehensive AI safety legislation have stalled in the 119th Congress, with numerous targeted bills introduced on topics like frontier model testing, incident reporting, and child safety protections but none advancing to passage amid a broader emphasis on innovation and deregulation. The Trump administration's December 2025 executive order directs challenges to state AI rules deemed burdensome, calls for a uniform federal framework with preemption where possible, and prioritizes minimal regulatory hurdles for developers. State-level measures in California, New York, Colorado, and Illinois have instead taken effect or neared enforcement in 2026, filling the gap while federal consensus remains elusive due to competing priorities on infrastructure, competition, and national security. This legislative inertia and policy direction underpin traders' strong consensus against 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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