Policy desk

Must equip AI models with 'kill switch' functionality and establish independent auditors; - Must collaborate with the expert panel to provide recommendations within two months; - Must comply with California's AI safety regulations, facing compliance risks otherwise.

Companies must ensure that the outputs from their AI systems are reviewed manually to comply with the government's suggestion. • Companies can leverage AI for efficiency improvements but must establish a manual review process. • Companies need to develop internal processes to address this suggestion.

Data center development approval processes will slow down, requiring companies to adjust project planning and timelines

Obligations: EU member states and AI developers may face increased scrutiny and potential new regulations to ensure AI development is slowed and its impacts are properly assessed.

Obligations: Companies must comply with new evaluation standards for token factories, focusing on core technical metrics like model adaptation capacity and energy efficiency. • Opportunities: Firms with leading token factories can receive government support. Companies involved in model technology iteration, chip adaptation, and overseas service development can tap into new market opportunities. • Deadlines: The plan is set for implementation from 2026 to 2028, with specific milestones for building factories, launching platforms, and achieving technology breakthroughs.

Obligations: AI companies such as Anthropic and OpenAI are obligated to provide third-party assessors with full access to resources, information, and direct communication channels with the board, free from interference.

Obligations: US AI companies may face increased scrutiny and potential regulatory constraints on their development speed.

Obligations: EU companies may need to adapt to new data regulations and frameworks being discussed, which could impose new compliance requirements.

Obligations: US policymakers must act within approximately one year to establish effective AI regulatory guardrails to prevent AI from going out of control.

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: OpenAI is required to track, investigate, and publicly disclose instances of model misalignment according to the new framework, which sets criteria and timelines for disclosure.

Obligations: Companies proposing data center projects in San Jose must undergo a more rigorous public review process and provide detailed disclosures on energy consumption, water usage, and environmental impact assessments. • Opportunities: Companies that can demonstrate responsible development and community benefits may gain public support and approval for their projects. • Deadlines: The city is currently consulting the public, and while no specific deadline is mentioned, companies must align with the city's proposed review framework before project approval.

Companies in Indonesia are required to participate or invest in national AI digital infrastructure projects to align with national strategic needs

Companies must submit details of agreements with Apple to the court, potentially exposing commercial secrets

Obligations As a model provider, OpenAI has a responsibility to publicly disclose findings of model misalignment and establish clear standards and timelines for tracking, investigating, and disclosing such issues.

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.

Obligations: Leading AI companies such as Anthropic must grant independent assessors access to internal systems and risk teams and accept their findings.

Obligations: AI companies must follow OpenAI's framework for disclosing model misalignment issues to the public, especially for significant or safety-related findings.

Obligations: Companies must establish internal reporting mechanisms for AI model misalignment, ensuring timely investigation and disclosure. • Opportunities: Early detection and public disclosure of misalignment can enhance model safety and transparency, potentially leading to improved public trust. • Deadlines: Companies need to implement the reporting framework within a reasonable timeframe to comply with OpenAI's new standards.

Obligations: Companies must engage in global AI governance discussions and align with emerging international safety standards.

Obligations: Companies operating in South Korea must comply with the government's directive to accelerate AI research and applications, while strengthening risk prevention measures for deepfakes, cyberattacks, and privacy. • Opportunities: South Korea's continued push for AI development presents opportunities for companies to participate in AI research, development, and application projects, especially in the semiconductor and hardware sectors. • Deadlines: The government plans to soon announce the next phase of its autonomous AI foundational model plan, creating a timeline for companies to prepare for potential new regulations or funding opportunities.

Healthcare organizations face challenges in AI trust and governance, with 72% using unapproved AI tools.

Obligations: Content creators must use the self-declaration mechanism to mark content sources. Companies deploying AI-generated content must ensure traceability. Users must adhere to rational and friendly expression guidelines, and avoid online harassment.

EU member states will form an alliance to ensure AI supply chain security, increasing compliance costs and collaboration opportunities.

Obligations: AI developers must ensure models adhere to the principles, cannot be designed to mimic consciousness, and must not be given legal personhood. Models must be within human control and fail tasks that violate the principles.

OpenAI will adjust its R&D strategy to prioritize safety assessments, potentially slowing down the iteration of frontier technologies.

Obligations: Frontier AI developers must comply with consistent safety requirements under a federal framework and undergo independent audits. • Opportunities: Establishing unified safety standards and collaborative frameworks can enhance the safety of AI development and boost industry confidence. • Deadlines: The call for immediate action is made, but specific regulations and frameworks have not yet been issued.

Obligations: Companies developing AI must comply with proposed regulatory guardrails to mitigate risks.

Obligations: AI companies, particularly those in the US, are under pressure to demonstrate responsible development and transparency regarding their AI models.

Companies must master their proprietary tacit knowledge to build continuous learning loops and reduce reliance on single model vendors.