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迷失在翻译中：人工智能如何揭露法律与逻辑之间的裂痕
法律和 IT 之间的紧张关系一直令人沮丧，但人工智能将使情况变得更糟。答案是可观察到的合规性：将法律意图直接编码到架构中。《迷失在翻译中：人工智能如何揭露法律与逻辑之间的裂痕》一文首先出现在《走向数据科学》上。
来源:走向数据科学Over the last few years, I have sat in multiple meetings with IT and legal teams where the intent and motivation is visibly misaligned. It often feels like two completely different worlds trying to reach agreement under pressure. As one colleague once described it to me: “Legal writes for humans, IT builds for machines.” Law allows interpretation, context, and mitigation, while IT depends on logic and deterministic workflows.结果是，即使是很小的歧义也可能导致浪费数周的时间来构建从一开始就在法律上不可行的解决方案。
我在此概述的问题、解决方案和预测结果针对所有三个基础：业务领导者、IT 专业人员（更具体地说是数据和人工智能）以及试图解决实施合规数据解决方案中日益严重的脱节问题的法律专业人员。它不仅仅将问题视为沟通问题，而是提出了一个实用框架，将法律意图转化为机器可读和架构感知的控制，可以随着现代数据和人工智能生态系统的扩展而扩展。
多年来，这种紧张关系一直是可以控制的，但自 2016 年 GDPR 规则出台以来，这种紧张关系就已经暴露出来，来自业务各个角落的人工智能请求的涌入即将大规模暴露这一差距。
Business: outcomes over everything
The business prioritises growth, revenue, optimisation and competitive advantage. Their language is KPIs, margins and performance. Compliance, from their perspective, is a constraint to navigate and not a mission in itself. They’re not trying to be reckless, they simply operate in a world measured by results.
They want to:
Legal: risk, mitigation and defensibility
They think in terms of:
IT: Deterministic Controls
IT needs to know: