No comprehensive federal AI safety legislation has advanced through the 119th Congress as of mid-2026, leaving trader consensus at 78.5% against enactment before 2027. Multiple bills on frontier-model transparency, risk reporting, and incident disclosure have been introduced or drafted, yet none have cleared key committees or floor votes amid competing priorities. Recent executive actions, including the June 2026 order promoting voluntary industry standards and preemption of conflicting state rules, have reinforced a light-touch federal approach focused on innovation rather than mandatory safeguards. Active state-level enactments on chatbots, deepfakes, and algorithmic accountability have further reduced urgency for national action within the remaining timeline.
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$100,318 Vol.
$100,318 Vol.
31 déc. 2026
$100,318 Vol.
$100,318 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. No comprehensive federal AI safety legislation has advanced through the 119th Congress as of mid-2026, leaving trader consensus at 78.5% against enactment before 2027. Multiple bills on frontier-model transparency, risk reporting, and incident disclosure have been introduced or drafted, yet none have cleared key committees or floor votes amid competing priorities. Recent executive actions, including the June 2026 order promoting voluntary industry standards and preemption of conflicting state rules, have reinforced a light-touch federal approach focused on innovation rather than mandatory safeguards. Active state-level enactments on chatbots, deepfakes, and algorithmic accountability have further reduced urgency for national action within the remaining timeline.
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
$100,318Date de fin
31 déc. 2026Marché ouvert
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. No comprehensive federal AI safety legislation has advanced through the 119th Congress as of mid-2026, leaving trader consensus at 78.5% against enactment before 2027. Multiple bills on frontier-model transparency, risk reporting, and incident disclosure have been introduced or drafted, yet none have cleared key committees or floor votes amid competing priorities. Recent executive actions, including the June 2026 order promoting voluntary industry standards and preemption of conflicting state rules, have reinforced a light-touch federal approach focused on innovation rather than mandatory safeguards. Active state-level enactments on chatbots, deepfakes, and algorithmic accountability have further reduced urgency for national action within the remaining timeline.
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
$100,318Date de fin
31 déc. 2026Marché ouvert
Nov 12, 2025, 5:08 PM ETResolver
0x65070BE91...No comprehensive federal AI safety legislation has advanced through the 119th Congress as of mid-2026, leaving trader consensus at 78.5% against enactment before 2027. Multiple bills on frontier-model transparency, risk reporting, and incident disclosure have been introduced or drafted, yet none have cleared key committees or floor votes amid competing priorities. Recent executive actions, including the June 2026 order promoting voluntary industry standards and preemption of conflicting state rules, have reinforced a light-touch federal approach focused on innovation rather than mandatory safeguards. Active state-level enactments on chatbots, deepfakes, and algorithmic accountability have further reduced urgency for national action within the remaining timeline.
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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