Recent Senate negotiations on a bipartisan AI safety measure led by Sens. Klobuchar, Thune, and Cruz have gained attention after September 2026 warnings from a former Anthropic researcher about catastrophic risks, prompting talks of a "duty of care" standard, mandatory testing, and potential government intervention powers. However, partisan gaps persist on liability language, preemption of state laws, and enforcement mechanisms, while the legislative calendar offers limited floor time before November midterms. House committees advanced narrower bills on labeling, NIST safety centers, and data centers earlier in 2026, yet comprehensive frontier-model regulation remains stalled amid competing priorities and skepticism about reaching consensus in the current session. Traders' strong "No" pricing reflects these procedural and timing barriers.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jourLes États-Unis adoptent-ils un projet de loi sur la sécurité de l'IA avant 2027 ?
Les États-Unis adoptent-ils un projet de loi sur la sécurité de l'IA avant 2027 ?
Oui
19% chance
$103,265 Vol.
$103,265 Vol.
31 déc. 2026
Oui
19% chance
$103,265 Vol.
$103,265 Vol.
31 déc. 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. Recent Senate negotiations on a bipartisan AI safety measure led by Sens. Klobuchar, Thune, and Cruz have gained attention after September 2026 warnings from a former Anthropic researcher about catastrophic risks, prompting talks of a "duty of care" standard, mandatory testing, and potential government intervention powers. However, partisan gaps persist on liability language, preemption of state laws, and enforcement mechanisms, while the legislative calendar offers limited floor time before November midterms. House committees advanced narrower bills on labeling, NIST safety centers, and data centers earlier in 2026, yet comprehensive frontier-model regulation remains stalled amid competing priorities and skepticism about reaching consensus in the current session. Traders' strong "No" pricing reflects these procedural and timing barriers.
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.
Marché ouvert : Nov 12, 2025, 5:08 PM ET
Volume
$103,265Date de fin
1 janv. 2027Marché ouvert
Nov 12, 2025, 5:08 PM ETRésolveur
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. Recent Senate negotiations on a bipartisan AI safety measure led by Sens. Klobuchar, Thune, and Cruz have gained attention after September 2026 warnings from a former Anthropic researcher about catastrophic risks, prompting talks of a "duty of care" standard, mandatory testing, and potential government intervention powers. However, partisan gaps persist on liability language, preemption of state laws, and enforcement mechanisms, while the legislative calendar offers limited floor time before November midterms. House committees advanced narrower bills on labeling, NIST safety centers, and data centers earlier in 2026, yet comprehensive frontier-model regulation remains stalled amid competing priorities and skepticism about reaching consensus in the current session. Traders' strong "No" pricing reflects these procedural and timing barriers.
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
$103,265Date de fin
1 janv. 2027Marché ouvert
Nov 12, 2025, 5:08 PM ETRésolveur
0x65070BE91...Recent Senate negotiations on a bipartisan AI safety measure led by Sens. Klobuchar, Thune, and Cruz have gained attention after September 2026 warnings from a former Anthropic researcher about catastrophic risks, prompting talks of a "duty of care" standard, mandatory testing, and potential government intervention powers. However, partisan gaps persist on liability language, preemption of state laws, and enforcement mechanisms, while the legislative calendar offers limited floor time before November midterms. House committees advanced narrower bills on labeling, NIST safety centers, and data centers earlier in 2026, yet comprehensive frontier-model regulation remains stalled amid competing priorities and skepticism about reaching consensus in the current session. Traders' strong "No" pricing reflects these procedural and timing barriers.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour
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