Policy desk

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

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.

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: Universities must adopt and implement the eight principles to redefine educational goals and assessment methods. Teachers are required to establish clear AI policies for each course and be transparent about their own AI usage.

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

The government will support the promotion of new energy vehicles and green smart home appliances in rural areas, providing market opportunities for related enterprises.

Obligations: Software companies are required to adapt their workforce to new roles and skills, such as front-line deployment engineers (FDEs) and new job titles like 'Generative AI System Application Operator'.

Obligations: Companies engaged in geological exploration are encouraged to adopt this system for enhanced efficiency and accuracy. • Opportunities: Early adopters can gain a competitive advantage in geological surveying and resource discovery. • Deadlines: No specific deadlines mentioned, but companies should plan for integration and training.

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.

Promote the large-scale application of intelligent terminal technologies

Companies should pay attention to investment and collaboration opportunities in the biotechnology and life sciences field by the Hong Kong government.

Provides service for unscrambling fraud methods and risk judgment

Require companies to comply with AI governance standards

Enhance the development level of computing power facilities

For companies: Large-scale application of eSIM technology, development of offline communication technology, standardized process for new business filing.

Offers AI intelligent question and answer to help users identify scam risks.

Use of AI in development but must meet quality and legal compliance standards

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.

Technical innate fragility is difficult to eliminate, affecting output stability and reliability.

For companies: Ensure the accuracy of AI medical record tools, correct errors in a timely manner, and enhance patient trust in AI technology.

Requires smart glasses and similar devices to comply with stricter regulations in public places.

Obligations: Companies providing AI services must comply with the National Security Department's guidance to prevent data leakage through unauthorized API intermediary stations. • Opportunities: Adhering to the guidelines can enhance user trust and data security, reducing the risk of reputational damage. • Deadlines: No specific deadline is mentioned, but companies should immediately implement recommended security measures to mitigate risks.

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.

Financial institutions must build human-approval mechanisms for high-risk AI uses, defining scenarios where agents need human sign-off

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

Food delivery businesses must maintain kitchen hygiene standards to avoid violation detection