Policy desk

Obligations: Companies deploying or selling smart glasses with camera capabilities must ensure compliance with GDPR and local privacy laws, particularly regarding consent and transparency. • Opportunities: There may be increased demand for privacy-enhancing technologies or solutions that address the concerns raised by the investigation. • Deadlines: Companies must ensure their products do not facilitate illegal activities such as unauthorized filming, as enforcement actions can result in significant penalties.

Obligations: Companies must adopt the Lanyun Yuan Sheng Dai tool for efficient and accurate pre-listing compliance checks, ensuring all key fields across documents are consistent and compliant with regulations like the Advertising Law.

Obligations: Content creators must ensure their audio content does not infringe on others' voice rights. • Opportunities: Platforms like Douyin offer a structured way to report and resolve voice-related disputes, improving user trust. • Deadlines: Users can now report suspected infringements through the new portal, though specific deadlines for resolution are not mentioned.

Obligations: Companies must exercise caution when using AI tools, not blindly trust or grant permissions to unknown AI services. They must set clear behavioral boundaries and strict permissions for AI agents, not casually open internet access or content editing rights.

Company Obligations: Cognita Imaging must complete the development and validation of an LLM-as-a-Jury evaluation method for 1 million radiology reports within 18 months, meeting FDA research requirements.

Obligations: Companies deploying macOS systems must promptly apply the security updates to mitigate risks of kernel memory corruption and privilege escalation. • Opportunities: Engaging with international security research teams, such as those from China, can enhance the discovery and reporting of vulnerabilities. • Deadlines: Immediate action is required to apply the updates to protect against known vulnerabilities.

Obligations: Automotive companies must establish a comprehensive software quality and safety management system and implement 10 key quality assurance activities within the specified timeframe.

Obligations: Companies developing smart home products must comply with new evaluation standards and interoperability requirements. Financial institutions must develop and offer specific consumer finance products for smart home purchases. • Opportunities: Companies can tap into government-supported consumer finance products and subsidies for smart home upgrades. The plan creates a market for new smart home products and services, especially in the aging-friendly sector. • Deadlines: The plan is already in effect, but companies should prepare for compliance with new standards and product requirements as they are implemented.

Obligations: Companies must comply with the platform's requirements for data reporting and resource registration to ensure accurate national computing power statistics.

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

Lawyers must strictly verify the accuracy of content generated by AI when drafting legal documents to avoid submitting false information, which may result in contempt of court charges and fines.

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: Software enterprises are encouraged to participate in the 'AI + Software' initiative, with a target of 20,000 enterprises to be covered by 2028. They are also required to apply intelligent programming tools and conduct software intelligence upgrades. • Opportunities: The plan provides funding and policy support for software companies to innovate and implement intelligent programming tools and agent software. It also promotes the development of new software products and services in the AI field. • Deadlines: The plan sets a goal for 2028, with specific targets for the number of enterprises covered and the implementation of key software intelligent upgrades.

The EU's cybersecurity agency gains access to a high-performance AI model for vulnerability detection, enhancing its cybersecurity defense capabilities.

EU agencies gain access to high-performance AI models, facilitating their assessment and oversight of AI safety.

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

Lists 11 new professions and 23 new job types, covering digital and green professions.

Create investment opportunities in Philippine AI infrastructure.

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

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.

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

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

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.

Companies must assess and mitigate systemic risks from algorithmic systems;