政策台

制造业企业需加速推进人工智能在研发设计、生产制造、经营管理等环节的应用，以提升数字化、智能化水平，符合国家产业政策导向。

Obligations: Enterprises must invest in building an organizational ontology to provide context for AI agents. • Opportunities: A well-defined ontology enables more effective AI-driven automation and decision-making. • Deadlines: While not explicitly stated, the guide implies a need for immediate action to catch up with the pace of AI-driven network attacks.

电商平台和直播带货平台需采用AI技术加强合规管理，防范假冒伪劣、价格欺诈等问题

企业需加强AI与制造业融合，开发智能工厂和智能制造解决方案

Obligations: AI companies may face legal scrutiny and potential penalties if found to have coordinated to limit AI development speed, violating antitrust laws. • Opportunities: The case highlights the importance of transparent communication and compliance with antitrust regulations in the AI sector. • Deadlines: The court case is ongoing, with the possibility of a collective class-action suit being certified, which could impact the companies' operations and public perception.

数据中心开发审批流程将减缓，企业需调整项目规划和时间表

Obligations: Companies must comply with the 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.

公司需向法院提交与苹果达成的协议细节，可能涉及商业机密披露风险

义务：作为模型提供商，OpenAI 有责任公开其模型对齐问题的发现，并设定明确的追踪、调查和披露标准与时间表。

医疗组织面临AI信任与治理的挑战，72%的组织在使用未获批准的AI工具。

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.

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.

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.