Policy desk

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.