Trump administration's March 20 National Policy Framework for Artificial Intelligence, urging Congress toward light-touch federal regulation, innovation promotion, and preemption of state laws, has solidified trader consensus against a stringent AI safety bill passing before 2027, pricing "No" at 59.5%. The GOP-controlled House and Senate endorse the blueprint's minimal oversight focus to compete with China, stalling heavier measures like the February-introduced AI Accountability Act amid committee inaction and no floor votes. Bipartisan Democrats criticize the approach as insufficiently protective, while 2026 midterm elections loom, heightening legislative caution on divisive tech policy. Potential hearings may emerge, but historical patterns of delayed AI bills underscore enactment barriers.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten · AktualisiertJa
$72,399 Vol.
$72,399 Vol.
Dec 31, 2026
Ja
$72,399 Vol.
$72,399 Vol.
Dec 31, 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. Trump administration's March 20 National Policy Framework for Artificial Intelligence, urging Congress toward light-touch federal regulation, innovation promotion, and preemption of state laws, has solidified trader consensus against a stringent AI safety bill passing before 2027, pricing "No" at 59.5%. The GOP-controlled House and Senate endorse the blueprint's minimal oversight focus to compete with China, stalling heavier measures like the February-introduced AI Accountability Act amid committee inaction and no floor votes. Bipartisan Democrats criticize the approach as insufficiently protective, while 2026 midterm elections loom, heightening legislative caution on divisive tech policy. Potential hearings may emerge, but historical patterns of delayed AI bills underscore enactment 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.
Markt eröffnet: Nov 12, 2025, 5:08 PM ET
Volumen
$72,399Enddatum
Dec 31, 2026Markt eröffnet
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. Trump administration's March 20 National Policy Framework for Artificial Intelligence, urging Congress toward light-touch federal regulation, innovation promotion, and preemption of state laws, has solidified trader consensus against a stringent AI safety bill passing before 2027, pricing "No" at 59.5%. The GOP-controlled House and Senate endorse the blueprint's minimal oversight focus to compete with China, stalling heavier measures like the February-introduced AI Accountability Act amid committee inaction and no floor votes. Bipartisan Democrats criticize the approach as insufficiently protective, while 2026 midterm elections loom, heightening legislative caution on divisive tech policy. Potential hearings may emerge, but historical patterns of delayed AI bills underscore enactment 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.
Volumen
$72,399Enddatum
Dec 31, 2026Markt eröffnet
Nov 12, 2025, 5:08 PM ETResolver
0x65070BE91...Trump administration's March 20 National Policy Framework for Artificial Intelligence, urging Congress toward light-touch federal regulation, innovation promotion, and preemption of state laws, has solidified trader consensus against a stringent AI safety bill passing before 2027, pricing "No" at 59.5%. The GOP-controlled House and Senate endorse the blueprint's minimal oversight focus to compete with China, stalling heavier measures like the February-introduced AI Accountability Act amid committee inaction and no floor votes. Bipartisan Democrats criticize the approach as insufficiently protective, while 2026 midterm elections loom, heightening legislative caution on divisive tech policy. Potential hearings may emerge, but historical patterns of delayed AI bills underscore enactment barriers.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten · Aktualisiert
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