US AI policy

Generative AI medical device developers can submit feedback during the open docket period and directly shape the future regulatory framework.

Obligations: AI companies may face increased regulatory scrutiny and potential legal action over data usage and its impact on news publishers. • Opportunities: Companies may need to develop more transparent data practices and collaborate with news organizations to mitigate negative impacts. • Deadlines: The FTC consultation period is open for public comments until a specified date, after which the agency will consider feedback before potentially adopting new guidelines.

Obligations: AI companies such as Anthropic and OpenAI are obligated to provide third-party assessors with full access to resources, information, and direct communication channels with the board, free from interference.

Obligations: US policymakers must act within approximately one year to establish effective AI regulatory guardrails to prevent AI from going out of control.

Obligations: AI companies must ensure their content training practices comply with existing copyright laws to avoid costly litigation and financial penalties. • Opportunities: Companies may need to invest in developing and licensing alternative training data sources to mitigate legal risks. • Deadlines: While no specific deadlines are mentioned, the ongoing legal proceedings and potential court rulings will set precedents for future AI content usage.

Obligations: Companies proposing data center projects in San Jose must undergo a more rigorous public review process and provide detailed disclosures on energy consumption, water usage, and environmental impact assessments. • Opportunities: Companies that can demonstrate responsible development and community benefits may gain public support and approval for their projects. • Deadlines: The city is currently consulting the public, and while no specific deadline is mentioned, companies must align with the city's proposed review framework before project approval.

Obligations: AI companies, particularly those in the US, are under pressure to demonstrate responsible development and transparency regarding their AI models.

Obligations: Companies in the AI industry are urged to consider slowing down development and implementing independent monitoring systems. • Opportunities: Early adopters of independent monitoring and transparency measures may gain trust and competitive advantage. • Deadlines: Companies should prepare for potential future regulatory frameworks and industry standards.

Obligations: Recipients must publicly disclose research findings on AI risks to regulators and the public. • Opportunities: Grants provide resources for AI safety research, potentially accelerating safer AI development. • Deadlines: Recipients must submit quarterly progress reports and final research outcomes within 18 months of grant approval.

Obligations: AI companies may be required to embed auditors and adhere to shared safety standards.

Company Obligations: UpDoc is required to lead the ADVOCATE project, collaborating with Microsoft, OpenAI, etc., to develop an autonomous clinical AI system for cardiovascular care, and must comply with ARPA-H's funding requirements and project specifications.

Obligations: AI companies, especially those in the US, must be prepared to respond to official inquiries and provide detailed documentation on AI model security and incident handling procedures. • Opportunities: Companies with robust incident response and documentation practices may be viewed more favorably in regulatory scrutiny. • Deadlines: Companies must ensure timely submission of required documents to avoid potential penalties or reputational damage.

Require policymakers not to treat each innovation in isolation.