Policy asks
Specific desired outcomes traced across actors, jurisdictions, policy vehicles, events and primary evidence.
Require machine-readable marking of AI-generated or altered content
Require covered providers to attach detectable technical provenance markers to synthetic or materially altered content.
Require visible disclosure for deepfakes and public-interest synthetic media
Require people encountering covered synthetic media to receive a clear, visible disclosure rather than relying only on hidden metadata.
Require advance notice and clear labelling for generative and high-impact AI
Require AI business operators providing high-impact or generative AI to inform users in advance and clearly label generative outputs, including deepfakes.
Require public disclosure rules for foundation-model training data, testing and operations
Direct a federal regulator to establish public-information requirements covering training data, documentation, testing, inference-time collection and model operations for covered foundation models.
Require lifecycle safety governance for autonomous AI agents
Treat safety, reliability and trustworthiness as requirements across research, deployment and promotion of AI agents with autonomous capabilities.
Require large frontier developers to publish catastrophic-risk safety frameworks
Require covered large frontier developers to write, implement, comply with and publish a frontier AI framework covering catastrophic-risk assessment, mitigations and related disclosures.
Use voluntary AI risk-management frameworks for organisational governance
Adopt voluntary frameworks such as the NIST AI RMF to manage trustworthiness risks without treating the framework text as a statute.
Offer a voluntary code of practice for general-purpose AI Act compliance
Provide a multi-stakeholder code that GPAI providers may use to demonstrate compliance with AI Act transparency, copyright and systemic-risk duties.
Pause new large AI data centres pending resource and security review
Pause construction or upgrading of covered AI data centres until Congress enacts specified safeguards and expressly terminates the moratorium.
Publish authoritative AI data-centre electricity demand projections
Maintain public, method-stated projections of data-centre and AI-focused electricity demand for grid and infrastructure planning.
Adopt the OECD AI-system definition and trustworthy-AI principles
Use the OECD Recommendation’s AI-system definition and principles as a shared baseline for domestic policy and legislative drafting.
Implement UNESCO’s Recommendation on the Ethics of Artificial Intelligence
Translate the UNESCO ethics recommendation’s values, principles and policy action areas into national law, guidance or institutional practice.
Sign and ratify the Council of Europe Framework Convention on Artificial Intelligence
Express consent to be bound by CETS No. 225 so the Convention’s human-rights, democracy and rule-of-law duties apply to the Party.
Control advanced computing integrated circuits under export administration rules
Use Export Administration Regulations revisions to licence or restrict advanced computing ICs used in AI datacentre deployments.
Enact AI promotion statutes that direct national guidelines
Pass promotion-focused AI legislation that treats AI as foundational technology and requires government guidelines aligned with international norms.
Adopt open content-provenance standards such as C2PA Content Credentials
Use open technical specifications for content provenance and authenticity assertions in synthetic-media governance.
Implement AI principles through existing regulators on a non-statutory basis first
Issue cross-cutting AI principles without immediate statute and assign implementation to existing sector regulators.
Publish voluntary national AI governance frameworks for organisations
Issue ready-to-use voluntary frameworks covering explainability, transparency, fairness and human-centric AI use.