AI Could Be Shut Down During Emergencies In UK: Should India Follow Too?

UK lawmakers propose an amendment to the cyber security and resilience bill to grant government ministers emergency powers to shut down advanced AI systems during national security threats or critical infrastructure attacks. The proposal, backed by Labour MP Alex Sobel, follows concerns raised by AI giant Anthropic’s restricted cybersecurity model, Mythos, which could expose severe vulnerabilities if misused.
UK lawmakers are pushing for a government "kill switch" to shut down advanced AI systems during emergencies. An amendment to Britain’s cyber security and resilience bill, introduced by Labour MP Alex Sobel and supported by 11 other MPs, would allow the UK Technology Secretary to order the shutdown of data centers or AI infrastructure if there is a catastrophic risk to human life, national security, or critical infrastructure. The proposal requires data-center operators to install systems enabling immediate government-ordered shutdowns and establish secure communication channels with the Department for Science, Innovation and Technology. Many of the world’s leading AI models are currently hosted in US-based data centers, raising questions about global coordination. The debate follows recent concerns over AI risks, including Anthropic’s decision to restrict its cybersecurity-focused model, Mythos, due to its potential to uncover dangerous security flaws. Sobel warned that current UK systems are unprepared for AI-driven threats, comparing the risks to coordinated cyberattacks or even nuclear-level harm. The amendment has not yet been officially endorsed by the government, but it signals growing urgency around AI governance. India, where AI adoption is expanding rapidly in sectors like banking, healthcare, and governance, faces similar questions about regulation and emergency safeguards. Experts argue that faster AI growth must be paired with stronger cybersecurity planning and emergency response frameworks. The UK’s proposal highlights a global shift from theoretical AI concerns to practical regulatory discussions.
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