Narrow AI

Narrow AI (also called Weak AI or Specialized AI) refers to AI systems designed to perform specific, well-defined tasks — image classification, language translation, game playing, fraud detection, route optimization, medical diagnosis in a specific specialty — without the general adaptability that AGI would imply. All AI systems in production today are narrow AI, including the most advanced LLMs (GPT-4, Claude, Gemini), which despite their breadth still fall short of human general intelligence. Famous examples include Deep Blue (chess), AlphaGo (Go), AlphaFold (protein structure), recommendation systems at Netflix and YouTube, voice assistants (Siri, Alexa), and the AI behind autonomous vehicles. Narrow AI has produced enormous economic value over the past decade while remaining task-specific. The term contrasts with AGI (general intelligence) and ASI (super-intelligence). AI governance, AI compliance, and AI risk management programs apply different risk frameworks to different narrow AI use cases — supporting responsible AI through task-specific governance treatments across enterprise AI portfolios worldwide.

Centralpoint Governs Every Narrow AI System You Deploy: Oxcyon's Centralpoint AI Governance Platform brings consistent governance to every AI system — OpenAI, Gemini, Claude, Llama, and embedded models. Centralpoint meters consumption, keeps prompts and skills on-prem, and embeds chatbots into your portals via a single JavaScript line.


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