Modern AI systems are examples of narrow (or weak) AI, meaning they are designed and trained to perform specific tasks or operate within particular domains — such as image classification, language translation, or recommendation systems. What AI currently lacks is Artificial General Intelligence (AGI): the hypothetical ability to understand, learn, and apply knowledge across any intellectual task at a level comparable to human cognition, independent of a specific domain. AI systems do possess domain-specific intelligence (that is their core design purpose), and while data bias is a real and important challenge, it is a data-quality/training issue rather than a fundamental capability AI is said to inherently lack as a technology category.
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