Congressional inaction on comprehensive AI safety legislation reflects persistent partisan divisions, industry lobbying, and limited remaining session time before the 2026 midterms. Multiple proposals, including the Frontier Act and Great American Artificial Intelligence Act discussion drafts, have advanced only to committee stages without floor consideration, while Senate negotiations led by Senators Klobuchar, Thune, and Cruz remain unresolved on key provisions such as transparency mandates, incident reporting, and preemption of state laws. The House adjourned in September without major AI measures, and administration resistance to regulatory approaches has further constrained momentum. Only narrow measures like the Take It Down Act have passed, leaving broader frontier model oversight stalled despite recent bipartisan talks and external calls for safeguards.
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
13% chance
$163,494 Vol.
$163,494 Vol.
31 déc. 2026
Oui
13% chance
$163,494 Vol.
$163,494 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. Congressional inaction on comprehensive AI safety legislation reflects persistent partisan divisions, industry lobbying, and limited remaining session time before the 2026 midterms. Multiple proposals, including the Frontier Act and Great American Artificial Intelligence Act discussion drafts, have advanced only to committee stages without floor consideration, while Senate negotiations led by Senators Klobuchar, Thune, and Cruz remain unresolved on key provisions such as transparency mandates, incident reporting, and preemption of state laws. The House adjourned in September without major AI measures, and administration resistance to regulatory approaches has further constrained momentum. Only narrow measures like the Take It Down Act have passed, leaving broader frontier model oversight stalled despite recent bipartisan talks and external calls for safeguards.
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
$163,494Date 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. Congressional inaction on comprehensive AI safety legislation reflects persistent partisan divisions, industry lobbying, and limited remaining session time before the 2026 midterms. Multiple proposals, including the Frontier Act and Great American Artificial Intelligence Act discussion drafts, have advanced only to committee stages without floor consideration, while Senate negotiations led by Senators Klobuchar, Thune, and Cruz remain unresolved on key provisions such as transparency mandates, incident reporting, and preemption of state laws. The House adjourned in September without major AI measures, and administration resistance to regulatory approaches has further constrained momentum. Only narrow measures like the Take It Down Act have passed, leaving broader frontier model oversight stalled despite recent bipartisan talks and external calls for safeguards.
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
$163,494Date de fin
1 janv. 2027Marché ouvert
Nov 12, 2025, 5:08 PM ETRésolveur
0x65070BE91...Congressional inaction on comprehensive AI safety legislation reflects persistent partisan divisions, industry lobbying, and limited remaining session time before the 2026 midterms. Multiple proposals, including the Frontier Act and Great American Artificial Intelligence Act discussion drafts, have advanced only to committee stages without floor consideration, while Senate negotiations led by Senators Klobuchar, Thune, and Cruz remain unresolved on key provisions such as transparency mandates, incident reporting, and preemption of state laws. The House adjourned in September without major AI measures, and administration resistance to regulatory approaches has further constrained momentum. Only narrow measures like the Take It Down Act have passed, leaving broader frontier model oversight stalled despite recent bipartisan talks and external calls for safeguards.
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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