纳德拉发布微软AI行为准则，强调人类控制与开放生态
Any pursuit of superintelligence has to be grounded in the core principle that i…
微软正式发布首个第一方MAI模型的行为准则，这是大厂在AI治理与对齐领域的关键落地动作，直接影响行业合规标准与开发者选型策略。
Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing.
任何对超级智能的追求都必须立足于一个核心原则：如果我们构建的 AI 不能造福人类且不受人类控制，那么它就不值得追求。
We also need to accelerate and spread the benefits of AI, such that they are diffused broadly across countries, communities, and companies. This requires a frontier ecosystem in which both closed and open-source models can thrive.
我们还需要加速并推广 AI 带来的益处，使其广泛惠及各国、社区和企业。这需要建立一个前沿生态系统，使闭源和开源模型都能蓬勃发展。
And for firms, it’s imperative that they retain full control over their unique and tacit knowledge. Every organization should be able to build its own continuous learning loop/hill climbing machine, without becoming dependent on any one model provider, and have the ability to embed its own knowledge into models and weights they control.
对于企业而言，必须保留对其独特知识和隐性知识的完全控制权。每个组织都应能够构建自己的持续学习循环/爬山算法（hill climbing）机制，而不依赖于任何单一模型提供商，并具备将其自身知识嵌入到由其控制的模型和权重中的能力。
So, in this context, we welcome the research, focus, and deliberate pacing needed to get alignment right as the design goal. We also welcome ideas like "embedded evaluators" and the broader efforts to develop the mechanisms to make this more than just talk.
因此，在此背景下，我们欢迎为正确实现对齐（alignment）这一设计目标所需的研究、关注以及审慎的节奏把控。我们也欢迎诸如“嵌入式评估器”（embedded evaluators）等理念，以及更广泛的努力，以开发能使这些理念超越空谈的机制。
The key is that this cannot be controlled by a handful of entities, but must have broad representation across the ecosystem, countries, and fields, including academia.
关键在于，这不能由少数实体所控制，而必须在生态系统、各国和各领域（包括学术界）中拥有广泛的代表性。
This is the approach we are taking: broad access and choice at every layer of the AI stack; enterprise control of learning loops and models; and the “Code of Conduct” that underlies our own first party MAI models that we’ll publish tomorrow for public consultation.
这正是我们正在采取的方法：在 AI 堆栈的每一层提供广泛的访问和选择权；企业对学习循环和模型的控制权；以及支撑我们要于明日发布以供公众咨询的首方 MAI 模型的“行为准则”。
更进一步：量化金融体系
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