US AI policy

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.

ARPA-H is investing in an AI heart failure treatment program;

For companies: Provides a path to market products before formal marketing authorization.

Require policymakers not to treat each innovation in isolation.

Companies may consider the use of copyrighted text for AI training as fair use.

Companies can train AI without excessive concern for copyright infringement risks.

Legalizes the use of copyrighted materials for AI training, providing new opportunities for the AI industry.

Requires large AI companies to increase transparency

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.

Internet-exposed or outdated PLCs are high-risk targets; operators must immediately audit and harden external exposure