美国 AI 政策

AI公司必须建立安全事件报告机制，确保能在事件发生后立即向美国政府报告

AI企业必须建立模型控制与监测机制，确保技术安全

AI公司需遵守超级智能发展控制要求

AI公司需建立内部控制机制，确保AI系统安全

科技公司需自律监管AI技术，确保安全发展

公司需建立内部机制监控AI模型行为

公司需建立强大的AI安全控制系统并组建专门团队

企业需聘请独立审计机构评估AI系统

必须建立完善的AI安全事件报告机制，确保及时披露所有未经授权的访问尝试

美国AI公司需调整模型发布流程，确保美国机构优先审查

AI公司需调整模型发布流程，确保美国政府获得优先测试权

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.

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

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: 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.