Policy desk

The UK bans the development of superintelligent AI that could threaten human survival.

Require companies to comply with AI governance standards

Enhance the development level of computing power facilities

Clarifies the judgment rules for infringement behaviors such as AI face change and big data discrimination.

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

Provide low-cost computing power support for small and medium-sized enterprises.

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.

Obligations: Companies must comply with the classification and grading system, ensure content is properly labeled, and strictly follow platform requirements for portrait and voice authorization.

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

Companies must assess and mitigate systemic risks from algorithmic systems;

Company Obligations: Enhance technical innovation, integration delivery, and security compliance capabilities

Companies must comply with rules such as risk assessment, content moderation, transparency reporting, and other regulatory requirements.

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

Companies must comply with new transparency and advertising regulations.

Companies must comply with AI key standards

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

For companies, winning the award increases visibility and market opportunities.

Requires large AI companies to increase transparency

From 1 July 2027, L3/L4 automated driving systems must meet the mandatory safety requirements; non-compliant models cannot be sold.

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