Trader consensus reflects stalled federal progress on AI safety legislation in the 119th Congress, where bills like the AI Accountability Act and Ensuring Safe and Ethical AI have been introduced but failed to advance beyond committees amid partisan divides on regulatory scope. The Trump administration's March 20, 2026, National AI Policy Framework emphasizes deregulation, federal preemption of state laws, and innovation over safety mandates, revoking prior executive orders on AI risks and opposing restrictive state measures. Recent state actions, such as Nebraska's Conversational AI Safety Act signed April 2026, highlight subnational momentum but underscore federal inaction, with upcoming midterms and lame-duck session unlikely to yield comprehensive passage before 2027.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · ActualizadoSí
$88,422 Vol.
$88,422 Vol.
31 dic 2026
Sí
$88,422 Vol.
$88,422 Vol.
31 dic 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. Trader consensus reflects stalled federal progress on AI safety legislation in the 119th Congress, where bills like the AI Accountability Act and Ensuring Safe and Ethical AI have been introduced but failed to advance beyond committees amid partisan divides on regulatory scope. The Trump administration's March 20, 2026, National AI Policy Framework emphasizes deregulation, federal preemption of state laws, and innovation over safety mandates, revoking prior executive orders on AI risks and opposing restrictive state measures. Recent state actions, such as Nebraska's Conversational AI Safety Act signed April 2026, highlight subnational momentum but underscore federal inaction, with upcoming midterms and lame-duck session unlikely to yield comprehensive passage 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.
Mercado abierto: Nov 12, 2025, 5:08 PM ET
Volumen
$88,422Fecha de finalización
31 dic 2026Mercado abierto
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. Trader consensus reflects stalled federal progress on AI safety legislation in the 119th Congress, where bills like the AI Accountability Act and Ensuring Safe and Ethical AI have been introduced but failed to advance beyond committees amid partisan divides on regulatory scope. The Trump administration's March 20, 2026, National AI Policy Framework emphasizes deregulation, federal preemption of state laws, and innovation over safety mandates, revoking prior executive orders on AI risks and opposing restrictive state measures. Recent state actions, such as Nebraska's Conversational AI Safety Act signed April 2026, highlight subnational momentum but underscore federal inaction, with upcoming midterms and lame-duck session unlikely to yield comprehensive passage 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.
Volumen
$88,422Fecha de finalización
31 dic 2026Mercado abierto
Nov 12, 2025, 5:08 PM ETResolver
0x65070BE91...Trader consensus reflects stalled federal progress on AI safety legislation in the 119th Congress, where bills like the AI Accountability Act and Ensuring Safe and Ethical AI have been introduced but failed to advance beyond committees amid partisan divides on regulatory scope. The Trump administration's March 20, 2026, National AI Policy Framework emphasizes deregulation, federal preemption of state laws, and innovation over safety mandates, revoking prior executive orders on AI risks and opposing restrictive state measures. Recent state actions, such as Nebraska's Conversational AI Safety Act signed April 2026, highlight subnational momentum but underscore federal inaction, with upcoming midterms and lame-duck session unlikely to yield comprehensive passage before 2027.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
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