US AI policy

Medical AI product providers must prepare for upcoming FDA regulatory requirements

Obligation: AI model providers must obtain third-party validation before deployment in NYC

Requires AI companies to reassess whether their models meet the updated 'frontier model' definition

AI companies must deploy independent auditors who directly report to the new regulatory agency

Tech companies will have direct access to government leadership to express views on AI industry status

Obligations: Data center operators must increase community participation in project approvals and cannot use confidentiality agreements. They must also comply with stricter environmental and energy efficiency standards. • Opportunities: Data centers investing in clean energy may receive priority for grid access. • Deadlines: The framework includes immediate administrative measures and proposed legislation for the 2027 state legislature.

Companies must provide equivalent employment or pay severance/training fees for employees whose jobs are replaced by robots.

Obligations : Frontier AI labs must consider and implement safety mechanisms like a 'kill switch', and must have external monitoring and mandatory safety plans. • Opportunities : Provides clear regulatory direction for AI companies in California, helping to stabilize the market and facilitate long-term development. • Deadlines : The expert panel must submit recommendations within two months, with subsequent potential legislative processes.

Obligations: US AI companies may face increased scrutiny and potential regulatory constraints on their development speed.

Obligations: Leading AI companies such as Anthropic must grant independent assessors access to internal systems and risk teams and accept their findings.

Obligations: AI companies must provide evidence of risk prevention measures and allow government audits, increasing compliance costs and operational scrutiny.

OpenAI will adjust its R&D strategy to prioritize safety assessments, potentially slowing down the iteration of frontier technologies.

Obligations: Frontier AI developers must comply with consistent safety requirements under a federal framework and undergo independent audits. • Opportunities: Establishing unified safety standards and collaborative frameworks can enhance the safety of AI development and boost industry confidence. • Deadlines: The call for immediate action is made, but specific regulations and frameworks have not yet been issued.

Obligations: Companies developing AI must comply with proposed regulatory guardrails to mitigate risks.

Companies must master their proprietary tacit knowledge to build continuous learning loops and reduce reliance on single model vendors.

Obligations: AI companies must open their systems to third-party evaluators for safety audits and model alignment assessments, increasing compliance costs and operational complexity.

Companies must ensure their AI research aligns with the principles of human control and benefit for humanity, avoiding pursuits of meaningless or harmful superintelligence. • Companies should retain control over their unique knowledge and build autonomous continuous learning loops, not becoming dependent on any single model provider. • Microsoft will publish a 'Code of Conduct' for public consultation, providing clear guidance for the industry.

Obligations: AI data center operators may be subject to new environmental health regulations if the plan is adopted, requiring compliance with stricter air quality standards. • Opportunities: Companies investing in AI data centers in the US could gain from a streamlined regulatory process if the plan is implemented. • Deadlines: The plan's adoption hinges on the president's decision, with no specific timeline mentioned in the report.

Obligations : Companies need to assess the impact of this feature on their Windows 11 systems and consider manually enabling it via Group Policy or Intune to enhance security.

Obligations: US AI developers and providers must comply with mandatory national AI safety regulations and state-level AI laws, including independent third-party assessments and event reporting. • Opportunities: Companies that proactively adopt and comply with emerging AI safety standards may gain a competitive advantage and build public trust. • Deadlines: US Congress must act before its December recess to pass federal AI safety legislation, while companies must comply with existing state-level AI regulations.

Obligations: Developers of frontier AI models must submit their models for a 60-day security assessment 60 days before release, otherwise they may face removal from the market. • Opportunities: Pre-release assessments can reduce security risks for models post-release and enhance public trust. • Deadlines: The policy requires the publication of safety review guidelines by August 31st, but the deadline has passed and the guidelines have not been made public.