AI News AI资讯 23h ago Updated 21h ago 更新于 21小时前 46

I investigated Palantir’s foothold in the British state – and what I found should worry us all 我调查了Palantir在英国政府中的立足点——我所发现的应该让所有人担忧

Palantir’s £330m Federated Data Platform (FDP) in the NHS shows significant gaps between reported adoption rates and actual usage, with many trusts listed as "live" but inactive. Clinical tools like Cancer 360 have seen minimal uptake, with clinicians citing poor performance, slow query speeds, and inferior user experience compared to existing systems. The deployment has created severe vendor lock-in risks due to proprietary software, threatening data portability and raising national security co 调查揭露Palantir在英国NHS的3.3亿英镑联邦数据平台(FDP)项目存在严重的“虚假繁荣”,大量宣称“上线”的医疗机构实际并未使用其应用。 临床医生普遍反映该平台操作缓慢、用户体验差且缺乏数据编辑功能,导致其在实际医疗工作流中效率低于现有系统。 项目总成本远超合同金额,包括巨额咨询费(如KPMG的850万英镑)和对各信托机构的激励资金,引发了严重的“供应商锁定”和国家安全隐患。 Palantir通过未充分披露的政治游说和薄弱的监管环境嵌入英国国家机器,利用“政治访问付费”规避了公开透明度要求。

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Hot 热度
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Impact 影响力

Analysis 深度分析

TL;DR

  • Palantir’s £330m Federated Data Platform (FDP) in the NHS shows significant gaps between reported adoption rates and actual usage, with many trusts listed as "live" but inactive.
  • Clinical tools like Cancer 360 have seen minimal uptake, with clinicians citing poor performance, slow query speeds, and inferior user experience compared to existing systems.
  • The deployment has created severe vendor lock-in risks due to proprietary software, threatening data portability and raising national security concerns regarding Palantir’s defense contracts.
  • Palantir’s rapid integration into British public services was facilitated by unregistered lobbying efforts and weak regulatory oversight, allowing a company with controversial geopolitical ties to embed itself deeply within the NHS.

Why It Matters

This investigation reveals critical vulnerabilities in how public sector AI and data infrastructure are procured and managed, highlighting the dangers of relying on proprietary, non-interoperable solutions from vendors with conflicting ethical profiles. For AI practitioners and policymakers, it underscores the necessity of rigorous transparency in lobbying, strict interoperability standards to prevent vendor lock-in, and evidence-based evaluation of technological efficacy before large-scale public deployment.

Technical Details

  • Platform Architecture: The core technology is Palantir’s Foundry software, utilized to build the Federated Data Platform (FDP) intended to integrate disparate NHS data sources.
  • Usage Discrepancies: Internal FOI data indicates that while NHS England claims nearly two-thirds of trusts are "live," dozens have not logged into any FDP applications in the past year.
  • Performance Metrics: Clinicians report that basic queries on the FDP take five minutes or more, significantly slower than legacy systems, and specific tools like Cancer 360 were used by only six out of approximately 200 trusts in their first nine months.
  • Proprietary Constraints: The software is fully proprietary, meaning data workflows and analyses are trapped within Palantir’s ecosystem, preventing easy migration or comparison with open-source or alternative commercial solutions.

Industry Insight

Public institutions must prioritize open standards and data sovereignty to avoid costly vendor lock-ins that compromise both operational efficiency and national security. Procurement processes require enhanced transparency regarding lobbying activities and independent, long-term efficacy audits rather than relying on vendor-provided metrics or short-term political endorsements.

TL;DR

  • 调查揭露Palantir在英国NHS的3.3亿英镑联邦数据平台(FDP)项目存在严重的“虚假繁荣”,大量宣称“上线”的医疗机构实际并未使用其应用。
  • 临床医生普遍反映该平台操作缓慢、用户体验差且缺乏数据编辑功能,导致其在实际医疗工作流中效率低于现有系统。
  • 项目总成本远超合同金额,包括巨额咨询费(如KPMG的850万英镑)和对各信托机构的激励资金,引发了严重的“供应商锁定”和国家安全隐患。
  • Palantir通过未充分披露的政治游说和薄弱的监管环境嵌入英国国家机器,利用“政治访问付费”规避了公开透明度要求。

为什么值得看

这篇文章揭示了大型科技公司在公共部门扩张时,如何通过政治游说掩盖技术实效性的不足,为AI治理和公共采购提供了反面教材。它警示从业者关注“供应商锁定”风险以及数据主权在国家安全层面的重要性,特别是在涉及敏感医疗数据的场景中。

技术解析

  • 平台效能与数据真实性:尽管NHS声称近三分之二的信托机构已“上线”Palantir Foundry软件,但内部数据显示数十个机构在过去一年中从未登录过任何FDP应用;旗舰癌症工具Cancer 360仅在约200个机构中的6个被使用。
  • 性能瓶颈与用户体验:临床反馈指出基础查询需耗时5分钟以上,且界面不支持数据编辑,导致医生放弃使用。Palantir以“额外安全性”为由拒绝进行公平的性能对比。
  • 专有架构与锁定风险:Foundry是专有封闭系统,分析师的工作成果依赖于该平台,一旦失去访问权限数据将丢失,形成了极高的迁移壁垒和技术依赖。
  • 隐蔽的游说机制:Palantir雇佣Global Counsel进行游说,通过政策简报等非正式活动接触政客,利用法规漏洞避免在官方披露中注册为付费倡导者,从而低调渗透政府决策层。

行业启示

  • 警惕公共采购中的“政治溢价”:在AI和大数据项目中,必须严格区分技术实际效用与政治/公关宣传,建立独立的第三方效能评估机制,防止因政治背书而忽视技术缺陷。
  • 重视数据主权与互操作性标准:公共部门应避免采用导致严重“供应商锁定”的专有封闭系统,强制要求数据可移植性和开放接口,以保障长期的国家安全和技术自主权。
  • 强化游说透明度与监管合规:需要完善针对科技巨头进入公共领域的监管框架,确保所有政治影响活动和利益冲突得到充分披露,防止隐蔽的利益输送影响公共政策制定。

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