Trader consensus favors "No" at 56.5% on U.S. enactment of an AI safety bill before 2027, reflecting stalled federal momentum despite the Trump administration's March 20 National Policy Framework for Artificial Intelligence, which prioritizes light-touch regulation, innovation safeguards, child protections, and preemption of state laws over comprehensive safety mandates. Introduced measures in the 119th Congress, including H.R. 8094 (AI Foundation Model Transparency Act of 2026) and Sen. Marsha Blackburn's March 18 AI safety bill targeting liability and bias, remain in early stages without committee progress or bipartisan support. State initiatives in New York (RAISE Act), California, and Idaho advance independently, underscoring congressional gridlock ahead of 2026 midterms and lame-duck session uncertainties.
Resumo experimental gerado por IA com dados do Polymarket · AtualizadoSim
$72,621 Vol.
$72,621 Vol.
31 dez 2026
Sim
$72,621 Vol.
$72,621 Vol.
31 dez 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 favors "No" at 56.5% on U.S. enactment of an AI safety bill before 2027, reflecting stalled federal momentum despite the Trump administration's March 20 National Policy Framework for Artificial Intelligence, which prioritizes light-touch regulation, innovation safeguards, child protections, and preemption of state laws over comprehensive safety mandates. Introduced measures in the 119th Congress, including H.R. 8094 (AI Foundation Model Transparency Act of 2026) and Sen. Marsha Blackburn's March 18 AI safety bill targeting liability and bias, remain in early stages without committee progress or bipartisan support. State initiatives in New York (RAISE Act), California, and Idaho advance independently, underscoring congressional gridlock ahead of 2026 midterms and lame-duck session uncertainties.
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 Aberto: Nov 12, 2025, 5:08 PM ET
Volume
$72,621Data de Término
31 dez 2026Mercado Aberto
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 favors "No" at 56.5% on U.S. enactment of an AI safety bill before 2027, reflecting stalled federal momentum despite the Trump administration's March 20 National Policy Framework for Artificial Intelligence, which prioritizes light-touch regulation, innovation safeguards, child protections, and preemption of state laws over comprehensive safety mandates. Introduced measures in the 119th Congress, including H.R. 8094 (AI Foundation Model Transparency Act of 2026) and Sen. Marsha Blackburn's March 18 AI safety bill targeting liability and bias, remain in early stages without committee progress or bipartisan support. State initiatives in New York (RAISE Act), California, and Idaho advance independently, underscoring congressional gridlock ahead of 2026 midterms and lame-duck session uncertainties.
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
$72,621Data de Término
31 dez 2026Mercado Aberto
Nov 12, 2025, 5:08 PM ETResolver
0x65070BE91...Trader consensus favors "No" at 56.5% on U.S. enactment of an AI safety bill before 2027, reflecting stalled federal momentum despite the Trump administration's March 20 National Policy Framework for Artificial Intelligence, which prioritizes light-touch regulation, innovation safeguards, child protections, and preemption of state laws over comprehensive safety mandates. Introduced measures in the 119th Congress, including H.R. 8094 (AI Foundation Model Transparency Act of 2026) and Sen. Marsha Blackburn's March 18 AI safety bill targeting liability and bias, remain in early stages without committee progress or bipartisan support. State initiatives in New York (RAISE Act), California, and Idaho advance independently, underscoring congressional gridlock ahead of 2026 midterms and lame-duck session uncertainties.
Resumo experimental gerado por IA com dados do Polymarket · Atualizado
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