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英国对网络安全法案中的人工智能保障措施态度未定UK keeps AI safeguards in the maybe pile for Cyber Security BIll

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英国官员在网络安全与韧性法案上止步于承诺针对人工智能的具体措施,尽管部长们承诺将在必要之处立法。这种不确定性出现在对自主人工智能威胁的警告之中,包括Anthropic的预测,即小型模型可能在数月内就能在易受攻击的智能设备上以自我复制蠕虫的形式运行。本周,高级公务员告诉议员们,政府仍在考虑对该法案进行修订,以应对人工智能风险。

UK officials have stopped short of committing to AI-specific measures in the Cyber Security and Resilience Bill despite ministers promising to legislate wherever necessary. The uncertainty comes amid warnings about autonomous AI threats, including Anthropic's forecast that small models could be months away from operating as self-replicating worms on vulnerable smart devices. Senior civil servants told MPs this week that the government was still considering amendments to the bill to address AI risks.

商务、创新、科学和贸易部增长、国际、科学和技术总干事亚历山德拉·琼斯负责“人工智能和新兴技术政策”。然而,她告诉议员们,最近的政府机构调整使得数字、文化、媒体和体育部负责网络安全与韧性(网络和信息系统)法案。“我们正在提出……利用网络安全法案来考虑改进对人工智能、网络和失控风险的准备情况……[以]审视严重事件和险情是如何被识别和报告的,以及如何在各组织内部遏制人工智能驱动的干扰,”她说。

Alexandra Jones, director general for growth, international, science and technology at the Department for Business, Innovation, Science and Trade, is responsible for "AI and emerging technologies policy." However, she told MPs that the recent machinery-of-government changes had left the Department for Digital, Culture, Media and Sport responsible for the Cyber Security and Resilience (Network and Information Systems) Bill. "We are proposing… to use the Cyber Security Bill to consider changes to improve preparedness for AI, cyber, and loss of control risks… [to] look at how serious incidents and near misses are identified and reported, and how AI-driven disruption across the organizations is contained," she said.

在周二的商务、创新、科学和贸易委员会听证会上,主席利亚姆·伯恩打断道:“你不能在法案中仅仅考虑某件事。你必须在法案中为某件事立法。”坐在内阁办公室的人工智能部长卡尼什卡·纳拉扬本周宣布计划“加强国家防御,以应对日益增长的人工智能风险”。“我们将动用我们所能使用的一切权力。我们将在必要之处立法。我们不仅仅会依赖法律。我们将依赖英国的创造力:我们的科学专长、技术能力和机构,以理解这些日益强大的系统,抵御新兴威胁,并在事情出错时作出应对,”他说。

At Tuesday's Business, Innovation, Science and Trade Committee hearing, chair Liam Byrne interrupted: "You can't consider something in a bill. You have to legislate for something in a bill." AI minister Kanishka Narayan, who sits in the Cabinet Office, this week announced plans to "step up national defenses against growing AI risks." "We will use every power at our disposal. We will legislate wherever necessary. And we won't look to law alone. We will look to British ingenuity: our scientific expertise, technological capabilities and institutions to understand these increasingly powerful systems, defend against emerging threats and respond when things go wrong," he said.

当被问及立法变更时,琼斯表示,政府正在“研究”为该法案引入修正案,并且“正在制定政策,以探讨是否利用《网络法案》来实现这一目标”。英国对人工智能监管采取去中心化、按行业划分的方法。例如,英国信息专员办公室已经发布了将数据保护法应用于人工智能时所遵循的原则。欧盟的《人工智能法案》已于2024年8月生效,各项新权力分阶段启用。美国没有专门针对人工智能的联邦立法,尽管一些州正在出台新法律。

Asked about legislative changes, Jones said the government was "looking at" introducing amendments to the bill and "developing the policy to look at whether we use the Cyber Bill to do that." The UK has a decentralized, sector-specific approach to AI regulation. For example, the Information Commissioner's Office has published principles it will use to apply data protection law to AI. The EU's AI Act entered into force in August 2024, with new powers activated in stages. The US has no federal legislation specifically aimed at AI, although some states are introducing new laws.

Anthropic于周一发布的研究探讨了人工智能模型是否能够在设备之间自我复制并在被黑客入侵的硬件上运行。该公司的预测是根据不断提升的模型能力推导出来的,而不是展示了一个在真实物联网设备上传播的完全自主的“蠕虫”。咨询公司博思艾伦也发出警告称,自主人工智能系统完全有能力寻找并攻击关键的运营技术和工业设备,并切断对水、电以及其他日常生活必需品的供应。

Anthropic's research, published on Monday, explored whether AI models could copy themselves between devices and run on the compromised hardware. Its forecast extrapolates from improving model capabilities, rather than demonstrating a fully autonomous worm spreading across real IoT devices. Consultancy Booz Allen Hamilton also warned that autonomous AI systems are fully capable of finding and attacking critical operational technology and industrial equipment, and shutting down access to water, power, and other daily life necessities.

此前,人工智能风险研究人员在委员会作证时表示,不能指望模型开发者进行自我监管,同时国际规则将必须克服根深蒂固的政治分歧。“人工智能未来项目”执行董事丹尼尔·科科泰洛表示,他的非营利研究组织提出了一项“最不坏的计划”。

Earlier, AI risk researchers told the committee that model developers could not be trusted to regulate themselves, while international rules would have to overcome entrenched political differences. Daniel Kokotajlo, executive director of the AI Futures Project, said his nonprofit research organization had proposed a "least bad plan." "Don't do recursive self-improvement.

他说:“不要进行递归自我改进。对这个行业保持更高的透明度,并对其实施更多监管,使其以适当的透明度和谨慎程度推进。我们认为这是目前市场上最不坏的计划。但它仍然存在问题,实施起来依然会相当可怕。”

Have a lot more transparency into the industry and a lot more regulation into the industry, so that it proceeds with the appropriate levels of transparency and caution. We think it's the least bad plan currently on the market. But it still has problems, and it would still be pretty scary to do," he said.

伯恩(Byrne)对证词进行了总结:“你们告诉我们,整个行业的安全文化是灾难性的,各个公司的安全文化方向是不对的,公司之间的竞争动态正在加剧这些风险,我们不能信任这些公司进行自我监管。” ®

Byrne summed up the testimony: "You have told us that the safety culture across the industry is catastrophic, that the safety culture in individual companies is in the wrong place, that the competitive dynamics between the companies are exacerbating these risks, that we cannot trust these companies to self-regulate." ®