美国 AI 政策

Obligations: Data center operators must increase community participation in project approvals and cannot use confidentiality agreements. They must also comply with stricter environmental and energy efficiency standards. • Opportunities: Data centers investing in clean energy may receive priority for grid access. • Deadlines: The framework includes immediate administrative measures and proposed legislation for the 2027 state legislature.

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.

必须为AI模型配备‘kill switch’功能并设立独立审计员； - 需在两个月内配合专家小组提供相关建议； - 需遵守加州AI安全监管要求，否则面临合规风险。

Obligations: AI companies may face increased regulatory scrutiny and potential legal action over data usage and its impact on news publishers. • Opportunities: Companies may need to develop more transparent data practices and collaborate with news organizations to mitigate negative impacts. • Deadlines: The FTC consultation period is open for public comments until a specified date, after which the agency will consider feedback before potentially adopting new guidelines.

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

企业需为机器人取代人工岗位的员工提供同酬岗位或提前60天支付遣散费，或缴纳自动化影响费至新设基金。

Obligations: AI companies operating in California may face new regulatory requirements, including potential mandatory security audits by independent third parties. • Opportunities: Companies may benefit from the development of a clearer regulatory framework for AI safety, potentially reducing uncertainty. • Deadlines: Companies must prepare for the upcoming two-month timeline for the expert panel to submit its recommendations and the subsequent legislative process.

义务：前沿AI实验室需考虑并实施“kill switch”等安全机制，并接受外部监控和制定安全计划。• 机会：为加州AI企业提供明确的监管方向，有助于市场稳定和长期发展。• 时间节点：专家小组需在两个月内提出建议，后续可能进入立法程序。

Obligations: AI companies like Anthropic and OpenAI must provide third-party assessors with full access to resources, information, and direct communication channels with the board, without interference.

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

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

Obligations: AI companies must ensure their content training practices comply with existing copyright laws to avoid costly litigation and financial penalties. • Opportunities: Companies may need to invest in developing and licensing alternative training data sources to mitigate legal risks. • Deadlines: While no specific deadlines are mentioned, the ongoing legal proceedings and potential court rulings will set precedents for future AI content usage.

Obligations: Companies planning 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: Successful 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.

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

Obligations: AI companies like Anthropic must allow independent assessors access to internal systems and risk teams, and accept their findings.

公司义务：Cognita Imaging需在18个月内完成1百万份放射报告的LLM评估方法开发与验证工作，并符合FDA的研究要求。

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 companies must provide evidence of risk prevention measures and allow government audits, increasing compliance costs and operational scrutiny.

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: 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 将调整研发策略，优先考虑安全评估，可能放缓前沿技术迭代速度。

义务：前沿AI开发者需遵守联邦框架下的统一安全要求，并接受独立审计。• 机遇：通过建立统一的安全标准和协作框架，可提升AI发展的安全性，增强行业信心。• 时间节点：呼吁立即行动，但具体法规和框架尚未出台。

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.

企业需掌握自身独有的隐性知识，构建持续学习闭环，减少对单一模型供应商的依赖。

义务：AI 公司需向第三方评估者开放系统，以接受安全审计和模型对齐评估，增加合规成本和运营复杂性。

Obligations: Companies in the AI industry are urged to consider slowing down development and implementing independent monitoring systems. • Opportunities: Early adopters of independent monitoring and transparency measures may gain trust and competitive advantage. • Deadlines: Companies should prepare for potential future regulatory frameworks and industry standards.

企业需确保其AI研究符合人类控制与普惠原则，避免追求无意义或有害的超智能。• 企业应保留对自身独特知识的控制权，并构建自主的持续学习循环，不依赖单一模型提供商。• 微软将发布“行为准则”，为行业提供明确的指导方向。

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.

Obligations: AI data center operators may face new environmental health regulations if the plan is adopted, requiring compliance with stricter air quality standards. • Opportunities: Companies investing in AI data centers in the US could benefit from a streamlined regulatory process if the plan is implemented. • Deadlines: The plan's adoption depends on the president's decision, with no specific timeline provided in the report.