夜雨聆风
A few years ago, most organizations were asking:
几年前，大多数组织还在问：
“Should we use AI?”
“我们该不该用人工智能？”
Now the question has changed.
现在问题已经变了。
“How do we manage it responsibly once it becomes part of everyday operations?”
“一旦人工智能成为日常运营的一部分，我们如何负责任地管理它？”
That shift is exactly why ISO 42001:2023 matters.
正是这种转变，让 ISO 42001:2023 变得重要。
In many companies, AI adoption happened quickly.
在许多公司，人工智能的采用发生得很快。
Teams introduced tools, automated workflows, and integrated systems faster than governance could catch up.
团队引入工具、自动化工作流程和集成系统的速度，超过了治理能力跟上的速度。
And that’s understandable.
这是可以理解的。
Innovation usually moves faster than structure.
创新通常比架构跑得更快。
But over time, the absence of structure creates something every regulated industry eventually faces:
但随着时间的推移，缺乏架构会创造出每个受监管行业最终都会面对的东西：
uncertainty.
不确定性。
Who is accountable for AI decisions?
谁对人工智能的决策负责？
How are risks being monitored?
风险是如何被监控的？
Can outputs be explained and traced?
输出结果能否被解释和追踪？
What controls exist when systems evolve?
当系统演进时，存在哪些控制措施？
These are no longer theoretical questions.
这些不再是理论问题。
They are operational questions.
它们是运营问题。
Compliance questions.
合规问题。
Trust questions.
信任问题。
ISO 42001 was developed to address this reality.
ISO 42001 就是为了应对这一现实而制定的。
Not as a technical manual for building AI,
它不是作为构建人工智能的技术手册，
but as a management framework for governing it responsibly across the organization.
而是作为一个在整个组织中负责任地治理人工智能的管理框架。
What makes the standard valuable is that it focuses on sustainability, not just implementation.
这个标准的价值在于，它关注的是可持续性，而不仅仅是实施。
It asks organizations to think beyond deployment and consider:
它要求组织超越部署本身去思考，并考虑：
• oversight
• 监督
• transparency
• 透明度
• accountability
• 问责制
• risk management
• 风险管理
• continuous improvement
• 持续改进
In other words, it treats AI the same way mature organizations treat quality, security, and compliance systems.
换句话说，它对待人工智能的方式，就像成熟的组织对待质量、安全和合规体系一样。
As something that must be actively managed, monitored, and improved over time.
作为必须随着时间的推移而被积极管理、监控和改进的事物。
One of the most important lessons in compliance is this:
合规领域最重要的一课是：
Control does not happen accidentally.
控制不会偶然发生。
It happens through systems, responsibilities, documentation, training, and continuous review.
它通过体系、职责、文档、培训和持续评审来实现。
That is the foundation ISO 42001 brings to AI governance.
这就是 ISO 42001 为人工智能治理带来的基础。
And as AI continues expanding across healthcare, biotech, medical devices, and other regulated industries, that foundation will become increasingly important.
随着人工智能在医疗保健、生物技术、医疗器械和其他受监管行业不断扩展，这一基础将变得越来越重要。
Because eventually, organizations will not be evaluated only on whether they use AI.
因为最终，组织被评估的将不仅仅是他们是否使用了人工智能。
They will be evaluated on how responsibly they manage it.
他们将被评估的是他们以多负责任的方式管理人工智能。
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