Rather than fixating on speculative AI catastrophe scenarios, experts advocate redirecting focus toward implementing robust ethical frameworks and governance structures. Dr Eleanor Drage from Cambridge emphasizes that tangible risks stem from biased algorithms, data misuse, and inadequate accountability mechanisms in current AI systems. Establishing comprehensive ethical guidelines, transparency standards, and responsible deployment practices represents a more pragmatic approach to managing artificial intelligence's real-world impacts on society, employment, and privacy.

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