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.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गयाहाँ
13% संभावना
$101,400 वॉल्यूम
$101,400 वॉल्यूम
31 दिस, 2026
हाँ
13% संभावना
$101,400 वॉल्यूम
$101,400 वॉल्यूम
31 दिस, 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.
बाज़ार खुला: Nov 12, 2025, 5:08 PM ET
वॉल्यूम
$101,400समाप्ति तिथि
31 दिस, 2026बाज़ार खुला
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.
वॉल्यूम
$101,400समाप्ति तिथि
31 दिस, 2026बाज़ार खुला
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.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया
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