Mythos Challenge: Delhi Needs a Say in Global AI Regulation
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500+ questions on Science & Tech with explanations
๐ Summary:
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Context: Anthropic's AI model 'Mythos' can autonomously identify and exploit zero-day vulnerabilities in critical IT infrastructure โ capabilities that have alarmed governments globally
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Core argument: AI governance is no longer a seminar talking point; India must secure a seat at the global AI governance table
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Threat mechanism (causal chain): (1) Mythos can "execute multi-stage attacks on vulnerable networks" โ per UK's AI Security Institute (2) It autonomously discovers zero-days even developers are unaware of (3) Reports of unauthorised access raise deployment accountability concerns (4) AI-enabled attacks are faster, adaptive, scalable, and increasingly autonomous
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India's vulnerability: India has critical infrastructure increasingly digitalised; CERT-In issued advisory; IT sector is core to India's economy; India lacks its own frontier AI regulation law
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Anthropic's response: Moving carefully โ committed to governance frameworks; but pace of capability development outstrips regulation
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International angle: UK's AI Security Institute and European AI Act (2024) have set standards; India is absent from frontier AI governance dialogue
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Solution proposed: India must participate in shaping the global AI regulatory architecture โ "have a seat at the high table"
๐ฏ UPSC Relevance: GS3 โ Science & Technology (AI governance, cybersecurity); GS2 โ Governance (regulation of emerging technologies). High relevance for Mains 2026.
๐ Prelims Facts:
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Zero-day vulnerability: a software flaw unknown to the developer; exploitable before a patch is released
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CERT-In: Indian Computer Emergency Response Team, under MeitY โ India's nodal agency for cyber incidents
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EU AI Act (2024): world's first comprehensive AI regulation; classifies AI by risk levels
๐ Key Term: Zero-day Vulnerability โ a previously unknown security flaw in software/hardware that developers have had "zero days" to patch; highly valuable to attackers.
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